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<h3> Position Summary </h3> Workforce Analytics Today’s disruptive environment calls for a different mindset and a new approach to drive organizational performance and enhance human capital development. Deloitte Workforce Analytics brings that insight through data and analytics to help our clients find signals in the noise and align workforce actions with business outcomes. With our HR domain breadth and industry depth, we bring hands-on experience in people analytics, workforce listening and analytics, and market sensing. Recruiting for this role ends on 6/30/2025. Work you’ll do As a Visier People Analytics Senior Consultant, you will engage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.). You’ll work with an experienced team to help organizations navigate the future with confidence, embracing decision-making with clear, data-driven insights. Depending on your passion, capability, and experience your project work could include the following: <ul> <li>Conduct current state assessments or discoveries to understand client people analytics maturity, synthesize findings, and communicate key themes.</li> <li>Lead and support the development of a client's people analytics vision, strategy, operating model, and roadmap for scaling people analytics.</li> <li>Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.</li> <li>Assist with end-to-end data and analytics processes, including cleansing and wrangling structured and unstructured data, designing, and building analytics and models, extracting insights and findings, visualizing outputs, and communicating outcomes to the client and other stakeholders.</li> <li>Leverage quantitative and qualitative data and analytics methods to analyze client data across HR and people analytics focus areas.</li> <li>Define top client business questions and challenges by conducting client interviews, synthesizing findings, and identifying key themes coming out of discovery work and client communications.</li> <li>Develop data visualizations that highlight key insights to help clients make informed business decisions related to human capital issues and communicate these insights to relevant stakeholders.</li> <li>Engage, communicate, and build relationships with internal and external stakeholders across geographies—both national and international—on both technical and non-technical people analytics topics.</li> </ul> Required Qualifications: <ul> <li>Bachelor’s degree</li> <li>4+ years of hands-on experience in Human Capital Consulting and/or closely related experience in a consultative people analytics role.</li> <li>4+ years of experience with People Analytics tools, specifically including a combination of the following: Visier, Power BI, Tableau, and/or Workday HCM.</li> <li>Proven experience with at least one Visier implementation, either by deploying Visier as the primary People Analytics platform for an organization or by expanding Visier capabilities through the implementation of new data subjects.</li> <li>4+ years of experience serving the HR Domain in areas such as recruiting, attrition, DE&amp;I, compensation and benefits, performance, and/or learning and development.</li> <li>Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.</li> <li>Limited immigration sponsorship may be available.</li> </ul> Preferred Qualifications: <ul> <li>4+ years of experience utilizing Visier to deliver actionable insights in the role of a People Analytics practitioner.</li> <li>4+ years of external Consulting experience within a firm environment.</li> </ul> <ul> <li>Strong communication skills (to be able to effectively communicate with clients and Deloitte teams across the globe).</li> <li>Strong project management and technical skills including familiarity with the end-to-end lifecycle of a project.</li> <li>Strong familiarity with People Analytics data and technology architecture from data source to ingestion, transformation, and visualization.</li> <li>Advanced Excel, Word, and PowerPoint skills.</li> <li>Understanding of and exposure to advanced analytics techniques and approaches.</li> <li>Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.</li> <li>Strong oral and written communication skills, including presentation skills.</li> <li>Ability to work independently and manage multiple task assignments.</li> </ul> Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $119,025 to $198,375. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. For more information about Human Capital, visit our landing page at: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html</a> #HC25 #HCaaS25 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

Deloitte

Visier People Analytics Senior Consultant

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. Position Summary CVS Health’s Analytics &amp; Behavior Change (A&amp;BC) is an organization within CVS Health working to solve some of the most challenging problems at the intersection of technology, analytics, and healthcare. A&amp;BC leverages advanced analytics (AI, ML, LLM), user-centric product design, and a hypothesis-driven top-down approach to transform data into actionable and customer-centric insights, predictions, and products. A&amp;BC’s aim is to drive growth, improve health outcomes and expand access to healthcare for all our members and customers. The Care Delivery Analytics &amp; Behavior Change team is part of the overall Analytics and Behavior Change organization (A&amp;BC). The team plays a key role in shaping the future of CVS Health’s growing care delivery ecosystem (i.e., HealthSpire) by collaborating with key business areas across CVS Health to deliver impactful analytic solutions, insights, predictions, and digital products. We are a fast-paced, collaborative, disruptive and fun team focused on building innovation that aims to make CVS’s healthcare ecosystem better for all those involved in it. The Sr. Data Scientist role within CVS Health Care Delivery Growth team is on the front line of driving innovation and directly impacting business decisions. As a Senior Data Scientist, you will play a crucial role in shaping the future of healthcare delivery. Your work will directly contribute to improving health outcomes for our members and enhancing the overall patient experience. This team works with business partners to understand their goals and objectives and generates insights connecting analytical results with business problems/goals and present recommendations to internal teams and business partners. You will get the opportunity to build ML models to predict future outcomes, solve highly complex business problems, and support decision making. In addition, you will also analyze large data sets in real-time databases, develop insights, and influence business operations to enhance performance. The ideal candidate is a flexible collaborator and team player who can contribute to all phases of the project including data preparation, data cleaning and interpretation, analysis, model building, quality assessments and presentation of results. Position Responsibilities <ul> <li>Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.</li> <li>Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.</li> <li>Collaborates with cross-functional business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.</li> <li>Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions.</li> <li>Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.</li> <li>Uses strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.</li> <li>Uses strong programming skills to explore, examine and interpret large volumes of data in various forms.</li> <li>Join forces with the Data Engineering team to ensure the availability and integrity of data required for analytics, ML ops for deployment, and identify opportunities for data integration, automation, and augmentation.</li> </ul> Required Qualifications <ul> <li>5+ years' experience in data science and advanced analytics</li> <li>5+ years' experience writing complex and efficient SQL code and leveraging exploratory data analysis techniques to develop insights from data</li> <li>3+ years' experience with Python</li> <li>3+ years' experience building ML models (e.g., Vertex AI or Amazon Sagemaker)</li> <li>2+ years' experience leveraging Cloud technologies (e.g. GCP, Azure, AWS, Snowflake, Databricks)</li> <li>2+ years' experience overseeing end-to-end model development from ideation through solution development to deployment/monitoring including in standard and advanced ML modeling techniques (e.g., Regression Models, Decision Trees, Neural Networks, etc.)</li> <li>2+ years' experience working within the US healthcare system including provider, payor, and regulatory landscape</li> </ul> Preferred Qualifications <ul> <li>Experience at a top-tier management consulting firm or an in-house consulting role</li> <li>Strong business acumen and problem-solving skills with ability to communicate technical concepts and implications to business partners</li> <li>Forward-thinking, anticipates and prevents problems and roadblocks before they occur</li> <li>Solid understanding of the US healthcare system including provider, payor, and regulatory landscape and understanding of Medicare and Medicaid programs. Thorough understanding of care delivery solutions (e.g., Value Based Care, In-Home Evaluations, e-consults, etc.)</li> <li>Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team</li> <li>Experience within an agile product development framework</li> </ul> Education <ul> <li>Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline</li> <li>Master’s degree preferred</li> </ul> Anticipated Weekly Hours40Time TypeFull timePay RangeThe typical pay range for this role is:$83,430.00 - $222,480.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">Benefits | CVS Health</a>We anticipate the application window for this opening will close on: 03/01/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVSHealth

Senior Data Scientist - Home Health Analytics

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.Position Summary As a Data Scientist, you will join a dynamic team focused on solving complex data challenges to drive decision-making and enhance operational efficiency. Our team works across multiple domains to extract actionable insights from vast datasets, build predictive models, and deliver impactful solutions. You will be responsible for applying advanced statistical analysis, machine learning techniques, and data visualization to uncover trends and provide recommendations. In this role, you will collaborate closely with stakeholders to ensure that data-driven insights influence strategic decisions and deliver business value. Required Qualifications<ul> <li>1+ years of experience in data science, analytics, or a related field</li> <li>Strong proficiency in Python and R, with experience using libraries such as pandas, NumPy, scikit-learn, and TensorFlow</li> <li>Proficiency in SQL for data manipulation and querying large datasets</li> <li>Experience with machine learning model development, evaluation, and deployment</li> <li>Solid understanding of statistical methods and techniques for data analysis</li> <li>Experience with data visualization tools such as Tableau, Power BI, or matplotlib</li> <li>Demonstrated ability to work with large, complex datasets and extract meaningful insights</li> <li>Familiarity with cloud platforms (AWS, GCP, or Azure)</li> <li>Strong problem-solving and analytical skills with attention to detail</li> <li>Excellent communication skills for presenting technical information to non-technical audiences</li> </ul>Preferred Qualifications<ul> <li>Ability to translate business problems into analytical frameworks and solutions</li> <li>Experience working with unstructured data such as text, images, or audio</li> <li>Familiarity with data engineering and ETL pipelines</li> <li>Knowledge of deep learning algorithms and frameworks</li> <li>Familiarity with big data tools like Hadoop, Spark, or Databricks</li> <li>Strong team collaboration skills, including working with cross-functional teams</li> <li>Comfort with Agile project management methodologies</li> </ul>Education Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree preferred.Anticipated Weekly Hours40Time TypeFull timePay RangeThe typical pay range for this role is:$64,890.00 - $173,040.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">Benefits | CVS Health</a>We anticipate the application window for this opening will close on: 03/10/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Data Scientist

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.Position OverviewCVS Health’s Analytics &amp; Behavior Change (A&amp;BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&amp;BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approaches to transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.The A&amp;BC organization is looking to grow its Clinical Data Science &amp; AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S. In this role you will be tasked with activating CVS Health’s clinical data repository to improve outcomes across multiple lines of business and use cases.As a Principal Data Scientist, you will…<ul> <li>be a subject matter expertise in clinical data and how to apply it to solve healthcare problems.</li> <li>lead decision scientists, data engineers, and product owners to design and implement analytics solution.</li> <li>foster a team cultural of analytical excellence by balancing the pursuit of business value with innovation and continuous improvement.</li> <li>identify and translate emerging AI trends in healthcare to better address real world problems with an MVP-first mindset.</li> <li>develop, validate, implement, and support decision support tools that investigate problem spaces, identify patterns, support decision-making processes, or anticipate outcomes.</li> <li>build queries, dashboards, and data visualizations to effectively communicate analysis results and support decision making processes.</li> <li>provide thought leadership in the development of the clinical data feature store, which aims to accelerate adoption of future use cases utilizing clinical data.</li> <li>explore, validate, interpret, and summarize large amounts of data with various types/structures using advanced statistical and mathematical approaches.</li> <li>develop end-to-end analytics solutions, from developing problem statements to deployments into production.</li> <li>translate problem statements from business partners into conceptual solutions, analyze feasibility, and estimate work efforts for analytical use cases early in their lifecycle.</li> <li>create documentation of project details, like problem statements, business outcomes, data exploration, dashboard/report details, and deployment/support instructions.</li> <li>develop and participate in presentations and consultations to existing and prospective constituents on analytics opportunities, results, and solutions.</li> </ul>Required Qualifications<ul> <li>10+ years of relevant analytics experience.</li> <li>10+ years' experience leading analytics projects from concept to delivery by coordinating across a diverse set of stakeholders.</li> <li>8+ years' experience solving analytics problems in the healthcare domain using clinical data.</li> <li>8+ years' experience anticipating and preventing roadblocks throughout a project lifecycle and drive resolution/mitigation.</li> <li>8+ years' experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.</li> <li>8+ years' experience using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data.</li> <li>8+ years' experience demonstrating strong written and verbal communication skills, including the ability to present complex ideas to various audiences.</li> </ul>Preferred Qualifications<ul> <li>Experience using Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, and Cloud Composer to implement scalable analytics solutions.</li> <li>Proven track record of implementing cutting-edge AI solutions in a deadline driven, value oriented environment.</li> </ul>Education Requirements<ul> <li>Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.</li> <li>Master’s degree preferred.</li> </ul>Pay RangeThe typical pay range for this role is:$144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">Benefits | CVS Health</a>We anticipate the application window for this opening will close on: 04/05/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Principal Data Scientist - Clinical AI

<h3> Position Summary </h3> The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world’s greatest personalized and business friendly applications. Recently building AI capabilities in all of our existing assets and building new AI enabled assets. The AI Solution Architect in Deloitte’s Human Capital Consulting HC Forward/Asset Development will be tasked with leading the design, architecture, and implementation of innovative Data products and AI solutions aimed at enhancing the Human Capital Offering Portfolio. This role is pivotal in leveraging Data and AI technologies, requiring a deep understanding of Data Science, Statistics, Machine Learning, Generative AI, Large Language Models (LLMs), and Multimodal models. The AI Architect will provide real-time Human Capital insights and develop technology solutions that drive and sustain organizational performance and engagement. Additionally, the AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML/Generative AI applications. Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process. The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps. The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position. Recruiting for this role ends on 12/31/24. Work you’ll do: Strategic Alignment and Vision <ul> <li>Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts</li> <li>Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases</li> </ul> Architectural Design and Technology Selection <ul> <li>Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models &amp; GenAI solutions</li> <li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools</li> <li>Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models</li> </ul> Collaboration and Stakeholder Engagement <ul> <li>Collaborate with Enterprise, Application, Data &amp; DevOps Architects, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss architectural design</li> <li>Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements</li> <li>Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies</li> </ul> Operational Excellence and Continuous Improvement <ul> <li>Be responsible for the successful execution of AI-powered applications using agile methodology</li> <li>Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms</li> <li>Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements</li> </ul> Risk Management and Ethical Considerations <ul> <li>Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations</li> <li>Address potential issues such as training data poisoning, AI model theft, and adversarial samples</li> </ul> Product Strategy and Business Understanding <ul> <li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products</li> <li>Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches</li> </ul> Research and Development <ul><li>Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost</li></ul> Tool Development and Data Management <ul> <li>Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization</li> <li>Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure</li> </ul> Required Qualifications: <ul> <li>Bachelor's Degree in any of Computer Science, Engineering, Statistics, Data Science or a related field.</li> <li>8+ years of experience leading a technical team (both onshore and offshore).</li> <li>8+ years of experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments</li> <li>2+ years of experience building GenAI environments</li> <li>8+ years of experience translating requirements into client ready design documents</li> <li>8+ years of experience with application architecture analysis, design, and delivery</li> <li>8+ years of full system development life cycle implementations</li> <li>Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve</li> <li>Limited immigration sponsorship may be available</li> </ul> Preferred Qualifications: <ul> <li>Advanced degrees such as Masters is preferred</li> <li>Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect</li> <li>8+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure</li> </ul> Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pleasanton, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $167,325 to $278,875. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. For more information about Human Capital, visit our landing page at: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html</a> #HC24 #HCaaS24 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-inclusion.html" target="_blank">Learn more about our inclusive culture.</a> Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

AI Solution Architect

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.Position Summary: As a Senior Data Scientist, you will play a key role in driving impactful data-driven solutions within our team. Your work will focus on developing predictive models, leveraging machine learning algorithms, and analyzing large datasets to provide actionable insights that influence strategic decisions. You will be solving complex business problems, collaborating with cross-functional teams, and identifying opportunities to optimize processes and performance. Our team is focused on delivering high-quality, scalable data products that directly contribute to the success of the organization. Required Qualifications:<ul> <li>Minimum of 3 years of experience in data science, analytics, or a related field.</li> <li>Proficiency in programming languages such as Python and SQL.</li> <li>Extensive experience working with machine learning algorithms, including but not limited to regression, classification, clustering, and deep learning.</li> <li>Experience with data visualization tools such as Tableau, Power BI, or similar.</li> <li>Expertise in statistical analysis and hypothesis testing.</li> <li>Strong experience with data preprocessing, feature engineering, and model selection.</li> <li>Familiarity with cloud computing platforms (e.g., AWS, GCP, or Azure).</li> <li>Proven track record of delivering end-to-end data science solutions, from problem definition to model deployment.</li> <li>Strong understanding of data structures, algorithms, and software engineering principles.</li> </ul><h2>Preferred Qualifications:</h2><ul> <li>Experience with big data technologies (e.g., Hadoop, Spark).</li> <li>Familiarity with deploying models to production environments and integrating with business applications.</li> <li>Experience working with large-scale, unstructured data sets.</li> <li>Strong problem-solving skills, with the ability to think critically and analytically.</li> <li>Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.</li> <li>Ability to mentor junior team members and provide technical leadership.</li> <li>Proven ability to work effectively in a fast-paced, collaborative team environment.</li> </ul><h2>Education:</h2><ul> <li>Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.</li> <li>Master’s degree preferred.</li> </ul>Anticipated Weekly Hours40Time TypeFull timePay RangeThe typical pay range for this role is:$83,430.00 - $222,480.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">Benefits | CVS Health</a>We anticipate the application window for this opening will close on: 03/12/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Sr Data Scientist

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.Position OverviewCVS Health’s Analytics &amp; Behavior Change (A&amp;BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&amp;BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approaches to transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.The A&amp;BC organization is looking to grow its Utilization Management Analytics team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S. In this role you will be tasked with anomaly detection of denial rates and mentoring Data Scientists to improve outcomes across multiple lines of business and use cases.As a Principal Data Scientist, you will…<ul> <li>be a subject matter expertise in complex data and how to apply it to solve healthcare problems.</li> <li>lead decision scientists, data engineers, and product owners to design and implement analytics solution.</li> <li>foster a team cultural of analytical excellence by balancing the pursuit of business value with innovation and continuous improvement.</li> <li>identify and translate emerging AI trends in healthcare to better address real world problems with an MVP-first mindset.</li> <li>develop, validate, implement, and support decision support tools that investigate problem spaces, identify patterns, support decision-making processes, or anticipate outcomes.</li> <li>build queries, dashboards, and data visualizations to effectively communicate analysis results and support decision making processes.</li> <li>explore, validate, interpret, and summarize large amounts of data with various types/structures using advanced statistical and mathematical approaches.</li> <li>develop end-to-end analytics solutions, from developing problem statements to deployments into production.</li> <li>translate problem statements from business partners into conceptual solutions, analyze feasibility, and estimate work efforts for analytical use cases early in their lifecycle.</li> <li>create documentation of project details, like problem statements, business outcomes, data exploration, dashboard/report details, and deployment/support instructions.</li> <li>develop and participate in presentations and consultations to existing and prospective constituents on analytics opportunities, results, and solutions.</li> </ul>Required Qualifications<ul> <li>10+ years of relevant analytics experience.</li> <li>10+ years' experience leading analytics projects from concept to delivery by coordinating across a diverse set of stakeholders.</li> <li>10+ years' experience with SQL and Python.</li> <li>10 + years' experience using Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, and Cloud Composer to implement scalable analytics solutions.</li> <li>8+ years' experience solving analytics problems in the healthcare domain using data.</li> <li>8+ years' experience anticipating and preventing roadblocks throughout a project lifecycle and drive resolution/mitigation.</li> <li>8+ years' experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.</li> <li>8+ years' experience demonstrating strong written and verbal communication skills, including the ability to present complex ideas to various audiences.</li> </ul>Preferred Qualifications<ul> <li>Experience using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data.</li> <li>Proven track record of implementing cutting-edge AI solutions in a deadline driven, value oriented environment.</li> </ul>Education Requirements<ul> <li>Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.</li> <li>Master’s degree preferred.</li> </ul>Pay RangeThe typical pay range for this role is:$144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">Benefits | CVS Health</a>We anticipate the application window for this opening will close on: 04/05/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Principal Data Scientist - Utilization Management Analytics

<h2> This is Data Science at Lattice </h2> As a Data Engineer on our Data Science team, you will play a pivotal role in designing, building, and optimizing our data infrastructure to support data-driven decision-making across the organization. You will collaborate closely with data scientists, analysts, and other stakeholders to deliver high-quality data solutions that meet business needs. Your responsibilities will include writing production-level data transformations, managing ETL processes, and ensuring the performance and reliability of our data warehouse. With your expertise in SQL, Python, and data orchestration tools like Airflow, you will drive best practices and contribute to the velocity of our team and the continuous improvement of our tech stack. <h2>What You Will Do</h2> <ul> <li>Write production-level data transformations to support stakeholders across data and business intelligence applications</li> <li>Create documentation and testing to ensure that our data is accurate and easily understandable</li> <li>Maintain and optimize performance of our data warehouse by designing efficient tables and storage processes</li> <li>Share methodologies and instruct other data team members on how to best write data transformations</li> <li>Collaborate with cross-functional teams to support data-driven initiatives and projects.</li> <li>Discover and institute best practices to ensure data quality across all facets of the data team</li> <li>Research and implement new tooling to enhance our tech stack</li> <li>Manage our ETL and other orchestrated processes through third party tools and first-party tools such as Airflow</li> <li>Enforce code quality by identifying and reducing tech debt, standardizing styles, and removing deprecated objects from code and downstream locations</li> <li>Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions</li> </ul> <h2>What You Will Bring to the Table</h2> <ul> <li>Fluency in SQL and dbt </li> <li>Proficiency in Python</li> <li>Experience with git and cloud platforms (e.g. AWS)</li> <li>Knowledge of data orchestration tools like Airflow, Prefect, or Dagster</li> <li>Excellent communication and collaboration skills</li> <li>High attention to detail and ability to think structurally about a solution </li> <li>Experience with a BI Tool (preferably Looker)</li> </ul> The estimated annual cash salary for this role is $123,000 - $154,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&amp;D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter &amp; Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning &amp; Development Budget; Sabbatical Program; and Invest in Your People Fund *Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. <h2>About Lattice</h2> Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with<a href="https://lattice.com/privacy/job-applicant-privacy-policy" target="_blank">Lattice's Job Applicant Privacy Policy</a>.

Lattice

Data Engineer

About Lumen Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress. Lumen’s commitment to workplace inclusion and employee support shines bright. We’ve made the Newsweek 2024 Greatest Workplaces for Diversity list and achieved a perfect score of 100 on the Human Rights Campaign Corporate Equality Index (CEI) for the fifth consecutive year. Plus, we’re the top employer in the communications and telecom industry, ranking 12th overall across all industries in The American Opportunity Index. We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future. <h2>The Role</h2> The Senior Manager, AI Product Manager will lead the development of AI-driven solutions that revolutionize how we attract, retain, and empower our workforce. Our HR People create AI products that are simple to use. These products give employees custom experiences and helpful information while they work. They use cloud technology, can grow with demand, and are legally compliant, apply ethical AI practices and allow us to scale the execution of all business at Lumen In this role, you will collaborate with various teams. You will work with HR and HRIS, HR leaders, analytics experts, data scientists, business stakeholders. You will also work with AI Governance council. Your aim is to develop and launch new AI-powered tools for conversations. You will also work on data analytics deliverables that focus, fuel and inform Lumen’s Transformation work. You will own and drive complex initiatives from ideation through delivery and change management, connecting AI-driven experiences to measurable business value. We are seeking a candidate with a proven track record in HR product management, deep technical understanding, deep data insights, and business outcome led through data-centered thinking. We value customer empathy, and the ability to deliver impactful results through well-developed business partnerships. <h2>The Main Responsibilities</h2> <ul> <li>Define and own the AI product vision and roadmap for HR, ensuring alignment with business objectives and employee needs. </li> <li>Explore how AI can help with HR tasks, support employees, and enhance their experience. Use AI to better hiring processes, increase employee satisfaction, teach new skills, and manage staff effectively. </li> <li>Stay informed on HR Tech industry trends to guide innovation, and apply emerging technologies, and best practices in AI (e.g. Large Language Models (LLMs), agentic frameworks, natural user interactions (i.e., voice) in designing and building multimodal, conversational experiences that enable personalized employee experiences. </li> <li>Contribute to definition, insights and delivery of strategic and on demand data insights for Lumen transformation workstreams.</li> <li>Conduct data-driven build-vs-buy analyses and present actionable recommendations to senior management. </li> <li>Lead end-to-end product lifecycle management for HR, from ideation to deployment and iterative improvements. </li> <li>Contribute to strategic and just in time insights that guide business unit and HR team decisions as we transform Lumen.</li> <li>Define and prioritize AI use cases that align with organizational goals, delivering measurable business value. </li> <li>Develop and maintain comprehensive product roadmaps, release notes, and marketing materials to ensure alignment and transparency. </li> <li>Guide execution teams on AI and automation projects, from vision and planning to delivery and change management, working with data and technology partners. </li> <li>Collaborate with HR executive team and business units to translate challenges into AI-driven requirements. </li> <li>Communicate the value and functionality of AI products to non-technical stakeholders through presentations, documentation, and training. </li> <li>Foster collaboration, synthesize multiple points of view to make decisions and drive alignment between design, data, technology teams, and HR leads to explore and deliver AI-driven innovations. </li> <li>Partner with data scientists, development, and third-party vendors to develop and deploy impactful AI models. </li> <li>Ensure AI solutions adhere to ethical guidelines, organizational values, and regulatory requirements (e.g., data privacy, bias mitigation). </li> </ul> <h2>What We Look For in a Candidate</h2> Qualifications: <ul> <li>Bachelor’s degree in Computer Science, Data Science, Business Administration, or a related field; advanced degree preferred. </li> <li>8+ years in a D2C/B2C product management role leading and testing products at scale (millions of customers or 10K+ employee base), with at least 3+ years focused on conversational AI or related fields (e.g. CoPilot development, AI assistants, etc) (preferred in HR or employee exp domains)</li> <li>Experience working in a large HR teams, product companies specializing in AI-driven employee or customer experience solutions, or consulting roles focused on People and Places AI products. </li> <li>Experience driving business changing outcomes through thoughtful, creative and just in time data analysis. </li> <li>Proven success managing complex, cross-functional projects in areas such as big data, analytics, artificial intelligence, and machine learning. </li> <li>Robust communication and leadership skills with the ability to influence and inspire teams and stakeholders without relying on direct authority. </li> <li>A love for technology, and an insatiable curiosity for AI to solve real problems with deep understanding of AI technologies, including natural language processing, predictive analytics, and machine learning models. </li> <li>Proven experience in defining big visions and inspiring teams to deliver new innovations and impactful products. </li> <li>Solid business acumen, stakeholder management skills, and experience collaborating across diverse teams. </li> <li>Able to create highly collaborative team spirit and able to take in multiple points of view, synthesize decisions, and communicate outcomes across the organization</li> <li>Artistry and excellence in simplifying complex ideas, identifying risks and dependencies, and delivering for customers within the constraints of technology</li> <li>Experience working in a large People and Places AI focused department or product companies that build AI customer / employee experience conversational products, or consulting background focus on People and Places AI Products</li> </ul> Preferred: <ul> <li>Knowledge of ethical AI practices and regulatory frameworks such as GDPR, CCPA, or EEOC guidelines. </li> <li>Hands-on experience with AI tools, frameworks, or platforms. </li> <li>Proven hands-on design experience with the ability to create low-to-high-fidelity wireframes and develop product marketing enablement materials. </li> </ul> <h2>Compensation</h2> This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Location Based Pay Ranges $129,639 - $172,852 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY $136,121 - $181,494 in these states: CO HI MI MN NC NH NV OR RI $142,603 - $190,137 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's: <a href="https://www.lumenbenefits.com/httpdocs2/index.html" target="_blank">Benefits</a> <a href="https://jobs.lumen.com/global/en/compensation-information" target="_blank">Bonus Structure</a> Requisition #: 336940 Background Screening If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our <a href="https://jobs.lumen.com/global/en/faq" target="_blank">FAQ page</a>. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Employment Opportunities We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. Disclaimer The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name. Application Deadline 02/25/2025

CenturyLink

Senior Manager, AI Product Manager

<h3> Position Summary </h3> The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world’s greatest personalized and business friendly applications. Recently building AI capabilities in all of our existing assets and building new AI enabled assets. Human Capital As-A-Service Today’s disruptive environment calls for a different mindset and a new approach to drive organizational performance and enhance human capital development now and in the future. Deloitte Human Capital as a Service brings that insight, through broad and deep capabilities to help our clients optimize people, process, and technology to thrive in an unpredictable world. Recruiting for this role ends on 12/31/2024. The AI Data Specialist in Deloitte’s Human Capital Consulting Asset Shop will lead the design, development, and deployment of innovative AI solutions to help clients leverage the power of artificial intelligence across their business processes. You will work closely with cross-functional teams including data scientists, engineers, and business consultants to design scalable AI architectures and integrate advanced machine learning models into business strategies. Your role is crucial in driving the adoption of AI technologies to transform client business models and deliver cutting-edge solutions. This role requires a deep understanding of Machine Learning, Statistics, Data Science, Generative AI, Large Language Models (LLMs), and Multimodal models. Additionally, the AI Data Specialist will help with recommendations for AI solution teams, focusing on modifying existing products and creating new ones. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML/Generative AI applications. Leadership skills are essential to implement the latest AI techniques and to continuously improve the AI/ML development, delivery, and operations process. The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps. The AI Data Specialist will also help with translating project requirements into strategic solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions. Work you’ll do: Strategic Alignment and Vision <ul> <li>Help define the AI/ML/GenAI technical direction and vision, ensuring alignment with strategic goals and digital transformation efforts.</li> <li>Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases</li> </ul> Architectural Design <ul><li>Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems.</li></ul> Design and Technology Selection <ul> <li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.</li> <li>Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.</li> </ul> Research and Development <ul> <li>Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost.</li> <li>Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions.</li> </ul> Collaboration and Stakeholder Engagement <ul> <li>Collaborate with Enterprise, Application, Data &amp; DevOps teams, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss best design.</li> <li>Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements.</li> </ul> Consulting &amp; Advisory <ul><li>Serve as a technical advisor to leadership, providing insights on AI trends, potential business impacts, and implementation best practices.</li></ul> Operational Excellence and Continuous Improvement <ul> <li>Be responsible for the successful execution of AI-powered applications using agile methodology.</li> <li>Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms.</li> <li>Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements.</li> </ul> Risk Management and Ethical Considerations <ul> <li>Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.</li> <li>Address potential issues such as training data poisoning, AI model theft, and adversarial samples.</li> </ul> Product Strategy and Business Understanding <ul> <li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.</li> <li>Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches.</li> </ul> Tool Development and Data Management <ul> <li>Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization.</li> <li>Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure.</li> </ul> Required Qualifications: <ul> <li>Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field.</li> <li>6+ years of related consulting experience leading a team (both onshore and offshore).</li> <li>6+ years of experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments.</li> <li>5+ years of experience working in an AI environment.</li> <li>5+ years of experience translating requirements into client ready design documents.</li> <li>5+ years of experience with application architecture analysis, design, and delivery</li> <li>5+ years of full system development life cycle implementations</li> <li>Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.</li> <li>Limited immigration sponsorship may be available.</li> </ul> Preferred Qualifications: <ul> <li>Advanced degrees such as Masters or PhD are preferred</li> <li>Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect</li> <li>5 + years of experience in Data Science, Statistics, and Machine Learning</li> <li>5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing</li> <li>5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment</li> <li>5+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure.</li> </ul> Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,375 to $265,625 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. For more information about Human Capital, visit our landing page at: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html</a> #HC25 #HCaaS25 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-inclusion.html" target="_blank">Learn more about our inclusive culture.</a> Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

10 Data Science Jobs in New York, NY, USA