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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

<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

<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.

3 Data Science Jobs in Minnesota