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Liberty Mutual Strategic Ventures

Senior Analyst, Advanced Analytics

Analyst Advanced Analytics

<h3> Position Summary </h3> Role Overview: As a Sr. Manager 2, Enterprise Architect, you will play a crucial role in shaping and executing our enterprise-level technology strategy. You will take a hands-on approach to multiple high-visibility projects, ensuring that our product landscape and solutions are both innovative and effective. Your vision and leadership will drive the development and implementation of a modern technology roadmap, simplifying and streamlining our technology landscape to deliver significant value for Deloitte's business investments. Your responsibilities will include leveraging your extensive engineering expertise and proficiency in applications and data integration across multiple programming languages, tools, platforms, and modern frameworks. You will consistently demonstrate your exemplary track record in delivering high-quality, outcome-focused solutions that yield value to our business. The ideal candidate will serve as a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced solutions. Your ability to lead, mentor, and inspire others will be pivotal in fostering a culture of excellence and continuous improvement within the organization. Recruiting for the role for 4.1.25 Key Responsibilities: Strategic Vision and Alignment: Accountable to craft and articulate a vision for modern enterprise systems and their integration with hundreds of other related upstream and downstream systems in alignment with the Business Strategy and US Deloitte Technology strategy, mapping business capabilities to the enterprise technology landscape. Collaborate with diverse stakeholders and executives, including businesses and enabling areas as well as product, engineering, experience, delivery, security, and infrastructure teams across various organizational levels. Advocacy and Technology Roadmap: Advocate for, develop, and communicate product engineering group’s integrated architecture/technology strategy and implementation approach to the product engineering teams and business stakeholders. Ensure the organization is well-informed about objectives, KPIs, technology roadmaps, and progress. Always have an eye on reuse and leverage of the existing technology assets to minimize overall costs and avoid integration complexities. Actively simplify and remove unnecessary systems, integrations, and bottlenecks. Craft Mastery and Objectives Realization: Define, measure, and drive the achievement of KPIs and NFRs related to system integration architecture and engineering, including aspects such as system performance, reliability, security, auditability, scalability, interoperability, maintainability, etc. Establish and evolve landscape and integration architecture and the engineering domain reference architecture, standards, and best practices. Actively be hands-on with design, architecture, and integrate and code part of the time, contributing to team velocity, and be actively engaged with product architects and engineers across SSDLC. Review standards and code, drive tech debt reduction, and experiment with new technologies, driving their adoption together with engineers, inspiring them to stay current with the technology industry evolution. Capability Evolution and Development: Being an engineering expert, mentor and develop architects and engineers. Coach and develop skills in modern architecture and engineering practices, related to integration tools and practices, microservices, cloud-native design, containers, AI/ML/GenAI, DevSecOps, and deployment techniques like, Blue-Green, Canary to minimize down-time, enabling A/B testing approaches. Showcase learning and mastery by showcasing experiments internally, speaking at conferences, writing whitepapers or blogs, and leading R&amp;D collaborations with academia and communities. Iterative Value Delivery: Embrace an iterative and incremental approach to implementing new solutions, integration architecture, and the engineering domain as a whole. Apply a leaning-forward approach to navigate complexity and uncertainty. Ensure alignment with customer and business goals through iterative steps and empirical evidence, adjusting integration architecture direction to meet customer needs and business viability. Customer-Centric Problem Solving: Demonstrate a relentless focus on addressing the most critical issues faced by customers, aligning technical solutions with business objectives. Exhibit deep expertise in minimizing unnecessary technical complexities and integration approaches that do not add value (no “overengineering”). Drive teams toward peak performance through continuous learning and improvement. Collaborate, challenge, and own technical decisions being advocated by business or other groups that do not fit or advance the enterprise ecosystem. Expert Proficiency and Continuous Improvement: Possess a keen ability to identify inefficiencies and opportunities for innovation within the technology landscape and the product development lifecycle. Continuously enhance the product engineering operating model to be lean, adaptable, and responsive to changes, ensuring that engineering teams can deliver business value efficiently and effectively. Guide and transform the organization to embrace lean principles and foster a culture of innovation. Tech/Quality Risk Management: Establish and evolve enterprise reference architectures, standards, and best architecture/engineering practices. Identify potential technical risks and develop mitigation strategies via proactive problem-solving and contingency planning to address any issues that may arise during development. Influential Communication: Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs, supported by evidence. Organizational Engagement and Collaboration: Engage stakeholders at all levels of the organization, from team members to middle management to executives. Build collaborative and constructive relationships, co-creating and driving momentum and value across multiple organizational levels. The successful candidate will be able to and/or have: <ul><li>Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.</li></ul> The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications: Required Qualifications <ul> <li>A bachelor’s degree in computer science, software engineering, or a related discipline</li> <li>12+ years of experience with programming languages, technologies, and frameworks such as Python, C#, Java, Node.js, Golang, .NET Core, Java, XML/JSON, REST/SOAP/GraphQL, SQL/NoSQL, SSO/MFA, and unit testing frameworks.</li> <li>7+ years experience with integrating SAP, SuccessFactors, Costpoint, ServiceNow, and Salesforce with custom product and COTS. Knowledge of SAP S/4HANA &amp; HCM</li> <li>7+ years experience with enterprise integration solutions and iPaaS (e.g., MuleSoft, Boomi, Talend).</li> <li>7+ years of hands-on experience with cloud-native integration services on Azure, AWS, and GCP (e.g., API Gateways, Message Brokers, Queuing Services, Workflow Automation &amp; Orchestration, ETL/ELT, Event Streaming, Real-Time Data Processing).</li> <li>5 years of people leadership experience</li> <li>Limited immigration sponsorship may be available</li> </ul> Preferred Qualifications <ul> <li>20+ years of proven experience with programming languages, technologies, and frameworks such as Python, C#, Java, Node.js, Golang, .NET Core, Java, XML/JSON, REST/SOAP/GraphQL, SQL/NoSQL, SSO/MFA, and unit testing frameworks.</li> <li>5+ years of experience with AI/ML and experience with GenAI</li> <li>Prior software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentations, as well as messaging patterns (e.g., routing, transformation, construction, channel, endpoint, adapter, sequencing).</li> <li>Prior experience and understanding of methodologies &amp; tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.</li> <li>An advanced degree (e.g., MS) in computer science, software engineering, or a related discipline is preferred.</li> <li>Deep excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.</li> </ul> Information for applicants with a need for accommodation: Hyperlink: <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> 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 $151,400 to $311,000. 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. EA_ITS_ExpHire 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

Deloitte Technology | Enterprise Architect

Machine Learning Engineer - AI SearchWhat you can expectZoom is looking for an innovative and skilled Machine Learning Engineer to join our Search team. The focus will be on improving how Zoom's AI Companion generates useful, actionable answers.About the TeamThe GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion functionalities. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.Responsibilities<ul> <li>Develop and implement advanced machine learning techniques, including Retrieval-Augmented Generation (RAG), to enhance search systems.</li> <li>Build AI-driven search solutions that improve information retrieval and enable Zoom AI Companion to generate personalized, context-aware responses.</li> <li>Improve AI capabilities to interpret, prioritize, and act on retrieved data, delivering clear and actionable insights to users.</li> <li>Enhance Zoom AI Companion’s ability to provide intelligent summaries, action items, and insights from meetings, chats, files, and shared content.</li> <li>Collaborate with product managers, engineers, and research scientists to create powerful, context-driven search solutions.</li> <li>Strengthen the search foundation of Zoom’s AI Companion to deliver advanced meeting insights, actionable recommendations, and support decision-making.</li> </ul>What we’re looking for<ul> <li>Bachelor’s or higher in Computer Science, Engineering, Mathematics, Statistics, or a related technical field, or equivalent practical experience.</li> <li>Have 4+ of hands-on experience in machine learning, particularly within search, ranking, information retrieval, or natural language processing (NLP)</li> <li>Track record in building and deploying machine learning models in production. With experience in RAG (Retrieval-Augmented Generation) models or similar hybrid systems combining retrieval with generative models.</li> <li>Core stack: Python, Java, C++, or other programming languages for ML development.</li> <li>Have understanding of search algorithms, ranking mechanisms, and information retrieval, specifically in context-driven search systems.</li> <li>Have experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or similar.</li> <li>Have experience working on large-scale search or recommendation systems for consumer-facing applications (e.g., messaging platforms, video conferencing, or cloud-based productivity tools).</li> </ul>Salary Range or On Target Earnings:Minimum:$143 000,00Maximum:$312 800,00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.We also have a location based compensation structure; there may be a different range for candidates in this and other locationsAt Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!Anticipated Position Close Date:05/02/25Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click <a href="https://careers.zoom.us/benefits" target="_blank">Learn</a><a href="http://careers.zoom.us/benefits" target="_blank"> </a>for more information.About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment. Our Commitment​ We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need assistance navigating the interview process due to a medical disability, please submit an <a href="https://form.asana.com/?k=OIuqpO5Tv9XQTWp1bNYd8w&amp;d=1127274756253361" target="_blank">Accommodations Request Form</a> and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.#LI-Remote

Zoom

Staff Machine Learning Engineer, Technical Lead

<h2>DESCRIPTION</h2> The Customer Engagement Technology (CET) organization powers customer service by developing elegant customer and CS Associate (CSA) facing products globally. These products offer effortless self-service and automation solutions to our customers. If customers prefer to interact with a human, we enable CSAs to effectively and elegantly solve customers’ issues using our associate-facing products powered through human-centered design. We are seeking a ML (Machine Learning) Quality Process Lead, who are fluent in Japanese and English, to join the Omni Machine Learning Data Associate (MLDA) team within CET to help manage quality management processes to analyze, improve annotation, testing, and contact reading accuracy to support new feature and product launches for Customer Service Large Language Models (LLMs). Key job responsibilities - Review annotations by paying close attention to details, making necessary adjustments to ensure high-quality data that supports ongoing model improvement. - Perform root cause analysis using basic data analysis in Excel and SageMaker (annotation tool) on annotations to identify opportunities for improving data accuracy. - Provide support for ML model training data annotations, assisting annotators in maintaining high-quality work by enforcing best practices. - Improve Standard Operating Procedures (SOPs) by sharing findings from reviews or deep dives, ensuring a consistent standard of excellence across the team. - Review LLM testing results provided by testers, paying close attention to details, to ensure their accuracy and identify areas for improvement. - Carefully monitor the accuracy of multiple annotation projects and proactively communicate any blockers or potential delays in the completion of quality checks. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the team Omni MLDA ((Machine Learning Data Associate) ) is a team that remotely works to develop and fine-tune generative AI machine learning models and executes testing plans to take the customer service experience to the next level. This is executed by teams of MLDAs working alongside Science and Product/Program Management teams to release localized customer-facing and agent-facing CS solutions, while allowing them to focus on the development of their new products. In addition, teams with existing CS experiences can rely on the Omni MLDA team to keep their solutions up-to-date and push identified technical defects to tech partner teams or defect elimination teams. <h2>BASIC QUALIFICATIONS</h2> - Language fluency in Japanese (Native-level) and English. - Experience in creating and managing ML annotation processes, testing models, and quality assurance methodologies. - Analytical and problem-solving skills to identify patterns, inconsistencies, and areas for improvement. - Ability to thoroughly investigate and identify misalignment between annotations and SOPs, as well as the root causes of inaccuracies. - Strong ownership and accountability to meet SLAs, and proactive communication regarding blockers, and proposed solutions. - Ability to collaborate closely with cross-functional teams, understand project/stakeholder requirements, and align annotation efforts and model testing accordingly. <h2>PREFERRED QUALIFICATIONS</h2> - Bachelor's Degree - Experience in annotation - Familiarity in using Excel - Experience with project management and stakeholder management Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations" target="_blank">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit <a href="https://www.aboutamazon.com/workplace/employee-benefits" target="_blank">https://www.aboutamazon.com/workplace/employee-benefits</a>. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon

ML Quality Process Lead - Japanese, Customer Engagement Technology

<h2>DESCRIPTION</h2> The Customer Engagement Technology (CET) organization powers customer service by developing elegant customer and CS Associate (CSA) facing products globally. These products offer effortless self-service and automation solutions to our customers. If customers prefer to interact with a human, we enable CSAs to effectively and elegantly solve customers’ issues using our associate-facing products powered through human-centered design. We are seeking a ML (Machine Learning) Quality Process Lead, who are fluent in Portuguese and English, to join the Omni Machine Learning Data Associate (MLDA) team within CET to help manage quality management processes to analyze, improve annotation, testing, and contact reading accuracy to support new feature and product launches for Customer Service Large Language Models (LLMs). Key job responsibilities - Review annotations by paying close attention to details, making necessary adjustments to ensure high-quality data that supports ongoing model improvement. - Perform root cause analysis using basic data analysis in Excel and SageMaker (annotation tool) on annotations to identify opportunities for improving data accuracy. - Provide support for ML model training data annotations, assisting annotators in maintaining high-quality work by enforcing best practices. - Improve Standard Operating Procedures (SOPs) by sharing findings from reviews or deep dives, ensuring a consistent standard of excellence across the team. - Review LLM testing results provided by testers, paying close attention to details, to ensure their accuracy and identify areas for improvement. - Carefully monitor the accuracy of multiple annotation projects and proactively communicate any blockers or potential delays in the completion of quality checks. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the team Omni MLDA (Machine Learning Data Associate) is a team that remotely works to develop and fine-tune generative AI machine learning models and executes testing plans to take the customer service experience to the next level. This is executed by teams of MLDAs working alongside Science and Product/Program Management teams to release localized customer-facing and agent-facing CS solutions, while allowing them to focus on the development of their new products. In addition, teams with existing CS experiences can rely on the Omni MLDA team to keep their solutions up-to-date and push identified technical defects to tech partner teams or defect elimination teams. <h2>BASIC QUALIFICATIONS</h2> - Language fluency in Portuguese (Native-level) and English. - Experience in creating and managing ML annotation processes, testing models, and quality assurance methodologies. - Analytical and problem-solving skills to identify patterns, inconsistencies, and areas for improvement. - Ability to thoroughly investigate and identify misalignment between annotations and SOPs, as well as the root causes of inaccuracies. - Strong ownership and accountability to meet SLAs, and proactive communication regarding blockers, and proposed solutions. - Ability to collaborate closely with cross-functional teams, understand project/stakeholder requirements, and align annotation efforts and model testing accordingly. <h2>PREFERRED QUALIFICATIONS</h2> - Bachelor's Degree - Experience in annotation - Familiarity in using Excel - Experience with project management and stakeholder management Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations" target="_blank">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit <a href="https://www.aboutamazon.com/workplace/employee-benefits" target="_blank">https://www.aboutamazon.com/workplace/employee-benefits</a>. This position will remain posted until filled. Applicants should apply via our internal or external career site.

ML Quality Process Lead - Portuguese, Customer Engagement Technology

At <a href="https://amperity.com/company" target="_blank">Amperity</a>, our AI-powered Customer Data Cloud empowers organizations to delight their customers and create differentiated experiences. Our multi-patented technology helps over 400<a href="https://amperity.com/customers" target="_blank"> leading global brands</a> like Alaska Airlines and DICK'S Sporting Goods drive revenue growth and meaningful customer experiences. We help users unlock the value of all of their customer data with simplicity and speed. Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute and grow. We're looking for talented individuals from diverse backgrounds to help us eliminate data bottlenecks and accelerate business impact for the world's most innovative companies. With offices in Seattle, New York City, London, and Melbourne, you'll be part of a fast-growing team solving critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let's talk. <h3>The Role</h3> As a Sr. Technical Consultant on our Professional Services team, you will partner with Implementation Managers and Customer Solutions Engineers to implement Amperity’s solution. This is a high impact, collaborative role that will see you own solution architecture, validate technical requirements, lead customers with guidance on best practice technical strategy, and execute a defined project plan for each customer. The role is deeply technical, but also customer-facing and will require familiarity with cloud platforms, database technologies, and SQL. <h3>Interesting Problems</h3> <ul> <li>Own end to end solution design to meet the customer requirements and use cases. </li> <li>Own the performance and scalability of database creation and SQL creation within the Amperity platform. </li> <li>Ability to explain complex technical solutions to a non-technical audience.</li> <li>Understand and provide feedback to Implementation Managers on customer requirements. </li> <li>Implement production-grade databases and queries that enable highly-visible, and highly-valuable, customer use cases to non-technical end-users.</li> <li>Provide best practice guidance to customers regarding integration strategy between Amperity, their technical architecture, and 3rd party systems.</li> </ul> <h3>About You</h3> <ul> <li>8 - 10 years experience in software development, software implementation, or professional services. </li> <li>8 - 10 years integrating data including various ETL/data service processes.</li> <li>8 - 10 years of experience with relational databases, SQL scripts, optimization, and dealing with large datasets is a requirement.</li> <li>Proven communication and interpersonal skills with both customers and internal stakeholders.</li> <li>Leads and facilitates data discovery sessions to inform solution decisions and configure the solution.</li> <li>Ability to understand the business impacts of technical decisions and is empathetic to the full end to end customer use case.</li> <li>Analyze &amp; design the solution according to project specifications. Should have in-depth knowledge of design issues and best practices.</li> <li>Excellent communication skills and documentation experience, with an emphasis on explaining technical concepts to business users.</li> <li>A wide breadth of technical knowledge, with an eagerness to learn and use new technologies. </li> <li>A creative, versatile approach to solving problems with technology - the variety of problems you face will rarely have a well-defined, obvious solution. </li> <li>Basic Unix/Linux/CLI experience</li> <li>Familiarity with various cloud-based technologies (AWS, Azure).</li> <li>A positive can-do attitude and tireless work ethic. Driven, self-sufficient, and able to thrive and adapt to change in a very fast-paced environment.</li> </ul> <h3>Location </h3> We have a hybrid work model for employees based in Seattle, WA, and New York, NY, with three days in the office days each week, providing a mix of in-person collaboration and remote flexibility We will also consider fully remote in CA, CO, FL, GA, IL, IN, MA, MN, NJ, OH, OR, and TX <h3>Compensation</h3> Base Salary: $132,000 - $180,000. Within our pay range, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, internal equity, as well as candidate qualifications such as skills, experience, and education/training. Cash Incentives: Cash incentives are also available. Stock Options: The opportunity for ownership is an exciting part of Amperity’s total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position. <h3>Benefits</h3> We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence. For more details on our benefits, please see our<a href="https://drive.google.com/file/d/1Jd5O27HxNE1AbAQu8jeQyC7aR1vWQHud/view" target="_blank"> US Benefits &amp; Perks Guide</a>. Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

Amperity

Senior Technical Consultant

<h3> Position Summary </h3> Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? Are you interested in helping clients drive alignment with their business, improve organizational and human resource performance and establish a culture focused on adding business value? That is what the new generation of human resource transformation is all about. If you are seeking a role that offers you the opportunity to advise Government and Public Services (GPS) clients through critical and complex issues, while allowing you to develop personally and professionally, consider a career in Deloitte’s Human Capital practice. Recruiting for this role ends on April 30th, 2025. Work You'll Do As a UKG WFM Pro Configuration Support Senior Analyst, you will: <ul> <li>Support the documentation of requirements, configuration and testing of the UKG WFM Pro application</li> <li>Work in the full lifecycle of a UKG WFM Pro project or workstream including business analysis, functional specification, system configuration, design, testing</li> <li>Work with the team in requirements gathering, workshops or facilitating client meetings </li> </ul> The team Deloitte’s Government and Public Services (GPS) practice – our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. The HR Transformation offering (HRT) transforms the way HR enables the business and the workforce. In this world of disruption, we believe that HR has an opportunity to take the lead and own enterprise-wide issues for the organization. From the creation of HR strategy using our leading Oracle-enabled HR Transformation labs, the application of design thinking that allows HR to challenge how work gets done today, to navigating the ever-evolving HR technology landscape to determine the right digital solutions to enable transformation, our HR Transformation practice is focused on helping HR take the lead. Qualifications Required: <ul> <li>2+ years of consulting or industry experience delivering Workforce Management (WFM) solutions</li> <li>Knowledge of UKG WFM configurations and best practices</li> <li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future</li> <li>Must be able to obtain and maintain the required security clearance</li> <li>Bachelor’s degree</li> </ul> Preferred: <ul><li>UKG Workforce Central 8.1 and UKG Pro WFM Certified</li></ul> 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 $77,000 to $143,000. 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. 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> 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-usdc.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.

UKG WFM Pro Configuration Support Senior Analyst

<h1> Senior Actuarial Analyst, Small Commercial Property</h1> Job Locations US-MA-Boston | US-Remote | US-OH-Columbus | US-WA-Seattle | US-IL-Chicago | US-TX-Plano <dl> <dt>ID</dt> <dd> 2025-68548 </dd> <dt>Position Type</dt> <dd> Full-Time </dd> <dt>Minimum Salary</dt> <dd> USD $92,000.00/Yr. </dd> <dt>Maximum Salary</dt> <dd> USD $176,000.00/Yr. </dd> <dt>Typical Starting Salary</dt> <dd> $95,000-$135,000 </dd> <dt>Flexible Time Off Annual Accrual - days</dt> <dd> 20 </dd> <dt>Application Deadline</dt> <dd> 2/28/25 </dd> </dl> <h2> Pay Philosophy </h2> The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. <h2> Description </h2> The Small Commercial (SC) Property/BOP Internal Indication team within US Retail Markets is currently searching for a Senior Actuarial Analyst to play a crucial role in developing Property Indications. This work is essential for understanding loss drivers and supporting both short and long-term business strategies and rate decisions. Additionally, as a Senior Actuarial Analyst, you will have the opportunity to work on and enhance our granular profitability database. The database serves as a foundation for partnering with other internal teams, enabling you to drive insightful analysis. This position offers an exciting opportunity to leverage your communication skills in sharing indication results, analytics skills on the indications, and coding skills in building the database. Initially the work will be focused on Property indications for Liberty Mutual and/or State Auto, but over time there may also be projects on BOP. **This role may have in-office requirements depending on candidate location.** **This is a ranged posting, level offered will be based on candidate credentialing and experience.** Responsibilities: <ul> <li>Drive Property indication process and deliver results to senior leadership and SC Product group.</li> <li>Conduct trend analysis and deep dives on profitability drivers to better understand indication results.</li> <li>Maintains and continuously improves rate indication processes and checks.</li> <li>Writes, maintains, and improves code for granular Property profitability database.</li> <li>Partners with other teams on profitability and trend insights.</li> </ul> <h2> Qualifications </h2> <ul> <li>Proven math and analytical skills, as normally acquired through the pursuit of a bachelor’s degree in Mathematics, Statistics, Economics, Actuarial Science, or related field</li> <li>Commitment to achieving Fellowship in the Casualty Actuarial Society. </li> <li>Passing grades on a minimum of 5 Casualty Actuarial Exams is required. Minimum 3-5 years relevant experience required.</li> <li>Prior experience and solid knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc.</li> <li>Solid oral and written and presentation communication skills and ability to interact effectively within and outside the organization. </li> <li>Solid interpersonal skills and the ability to work in a team environment as well as independently. </li> <li>Ability to motivate and mentor peers and motivate and train subordinates. </li> <li>Ability to exercise discretion and apply independent judgment and well-developed critical thinking skills in execution of assignments and projects. </li> <li>Ability to balance multiple projects with minimal direction. </li> <li>Advanced computing skills (MS Office Excel, SAS, etc.).</li> <li>Ability to build models of moderate complexity. </li> </ul> <h2> About Us </h2> As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: <a href="https://lmi.co/Benefits" target="_blank">https://LMI.co/Benefits</a> Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices <ul> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-fair-chance-act.pdf" target="_blank">California</a></li> <li><a href="https://bca.lacity.gov/Uploads/fciho/FCIHO-factsheet-2024-03-05.pdf" target="_blank">Los Angeles Incorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2025/01/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf" target="_blank">Los Angeles Unincorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/pa-philadelphia-fair-chance-law.pdf" target="_blank">Philadelphia</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-san-francisco-fair-chance.pdf" target="_blank">San Francisco</a></li> </ul> <h2>Options</h2> <a href="https://careers-libertymutual.icims.com/jobs/68548/senior-actuarial-analyst%2c-small-commercial-property/job?mode=apply&amp;apply=yes&amp;hashed=-1834448064" target="_blank"> Apply NowApply </a><a href="https://careers-libertymutual.icims.com/jobs/68548/senior-actuarial-analyst%2c-small-commercial-property/referral?hashed=-625979090" target="_blank"> Email this job to a friendRefer </a> Sorry the Share function is not working properly at this moment. 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Senior Actuarial Analyst, Small Commercial Property

<h3> Position Summary </h3> Industry-leading clients. An award-winning culture. Top notch connections. Big opportunities. From learning to leadership, this is your chance to take your career to the next level. Deloitte can show you what it takes to explore an entire universe of ideas, possibilities, and opportunities—and help make an impact that matters with SAP solutions. Recruiting for this role ends on May 31, 2025 Work You'll Do At Deloitte, you will work with the best in the business to solve their toughest problems. As an SAP Manager, you will: <ul> <li> Be responsible for delivering complex projects in a fast-paced, team environment.</li> <li> Promote and take part in forums for sharing expertise and strengthening Deloitte’s collective knowledge.</li> <li> Collaborate on innovative solutions to bolster the future of the practice.</li> <li> Develop your knowledge of and gain project experience in SAP’s newest and future solutions.</li> </ul> The Team Relentless disruption requires organizations to embrace more than iterative change. Deloitte’s SAP practice helps clients move from legacy systems to enterprise-wide solutions by efficiently designing and implementing SAP solutions. Each SAP implementation focuses on achieving results that support businesses strategies through process improvement, technology, and innovation. Our work is varied and challenging, involving clients considering first time implementations as well as those experienced businesses looking to enhance their business applications. Our professionals have hands-on access and exposure to the latest technologies and committed thought pioneers. Qualifications Required: <ul> <li>8 years’ relevant SAP consulting or industry experience</li> <li>Experience with SAP Data Architecture, SAP MDG/MDM, and S4 HANA</li> <li>Participation in all phases of at least 4 SAP MDG master data domain implementations with 2 in a lead role</li> <li>Bachelor’s degree or equivalent</li> <li>Ability to travel up to 50%, based on the work you do and the clients and industries/sectors you serve.</li> </ul> Desired: <ul> <li>Experience with SAP BODS, Information Steward, and Data Services</li> <li>Experience leading pre-sales, proposal, and RFPs</li> <li>Data quality reporting and cleansing implementation experience</li> <li>Knowledge of SAP Landscape Transformation (SLT), Smart Data Integration (SDI) or Smart Data Access (SDA)</li> <li>Experience delivering projects using SAP ASAP &amp; Agile methodologies</li> <li>Signavio experience</li> <li>Greenfield implementation experience</li> <li>Master’s degree</li> </ul> <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">Information for applicants with a need for accommodation</a> Wages + Salary 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 $131,175 to $218,625. 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. #SAP23 #EPCORE 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.

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