• Define and maintain the product roadmap for AI and analytics capabilities, balancing near-term customer value with long-term platform differentiation. • Translate business objectives, market signals, and customer research into a prioritized backlog with clear goals, success metrics, and release milestones. • Develop and communicate a compelling product vision for how AI—including LLMs, Auto-Structure, AI Lens, and agentic workflows—will transform how EHSQ professionals work. • Partner with the VP of Data Analytics, Architecture & AI to align AI product investments with company strategy and Fortive Business System priorities. • Conduct ongoing customer discovery—through interviews, advisory councils, and collaboration with sales and customer success—to deeply understand EHSQ workflows and unmet needs. • Own the end-to-end delivery of AI and analytics features—from writing clear PRDs and acceptance criteria through sprint planning, launch, and post-release iteration. • Serve as the internal product authority on AI and analytics—enabling sales, presales, and customer success teams with competitive positioning, demo narratives, and feature deep-dives. • Manage dependencies across squads and proactively surface risks to delivery timelines.

Requisition Number: 2374841 At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together The Medicare Advantage (MA) Product Capabilities team provides management, strategic oversight, subject matter expertise, data analytics, data delivery and stewardship, and production support for technical assets which deliver Medicare Advantage product and benefit data across the enterprise. Our focus is to create sustainable solutions that drive efficiencies in operations where Medicare Advantage product data is needed. The Sr Data Analyst is a business-facing position that will specialize in managing eligibility and benefit data, supporting vendors that administer supplemental Medicare Advantage benefits (such as fitness or transportation). Vendors and internal stakeholders consistently require data and ad-hoc analysis. This role ensures eligibility data is accurate, compliant with CMS regulations and UHG standards, and delivered in accordance with established business requirements. This role involves querying databases in Snowflake and SQL Server, as well as custom APIs. It requires a solid analytical mindset and the ability to understand the business processes and data supported by MA Product, then apply that knowledge to ensure our data exchanges provide a seamless member experience. The role will work closely with team members across UnitedHealth Group, including product owners, account managers, our IT Partners, and vendors. If you reside within a commutable distance of either Minnetonka, MN or Fort Washington, PA, you will have the flexibility to work remotely* as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Collaborate with external vendors and internal stakeholders to design, implement, and support data solutions - Investigate, troubleshoot, and resolve data-related production issues impacting internal stakeholders and external partners - Support implementation and ongoing management of data exchanges with external vendors and benefit administrators - Validate, reconcile, and monitor eligibility, utilization, and benefit data to ensure the accuracy of downstream reporting and vendor data exchanges - Establish a thorough understanding of the business (Medicare Product, Claims, Member eligibility) and collaborate with Business SMEs to shape solutions, perform analyses, and interpret data - Engage with leadership teams to support ad-hoc data analysis primarily in SQL Server and Snowflake and present findings - Create and maintain data scripts using Python for data transformations and data loads - Produce high-quality data solutions that adhere to team standards, are scalable as the product grows, and are sustainable with minimal rework - Demonstrate leadership by independently driving work to completion while effectively collaborating with team members and stakeholders - Maintain team operational effectiveness through comprehensive documentation, process flows, diagrams, code comments, and reusable code developed within a shared environment - Contribute to analysis, problem definition, requirements, solution development, and proposed solutions - Maintain and expand technical expertise through continuing education, industry networking, and evaluation of emerging development tools and programming techniques - Provide timely status updates and communicate risks, dependencies, and project progress to stakeholders - Provide technical leadership by driving project teams toward established goals and promoting adherence to established design standards You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 5+ years of experience developing complex SQL solutions with advanced or expert-level SQL proficiency - 3+ years of experience with scripting or programming languages (Python preferred) - 3+ years of data analysis and reporting experience - 3+ years of experience supporting Medicare Advantage programs, with a solid understanding of the Medicare Advantage line of business *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

• Irá auxiliar na arquitetura de banco de dados em projetos de IA; • Irá auxiliar na implementação e manutenção de pipelines de dados para ingestão, armazenamento e processamento de grandes volumes de dados; • Garantirá que os dados estejam disponíveis, acessíveis e prontos para serem utilizados por cientistas de dados e outras partes interessadas dentro dos projetos de IA • Auxiliará na prototipagem e testes de modelos de IAs Generativas para resolver problemas específicos de negócios. • Participará das análises de logs e métricas de uso dos modelos de IA para identificar falhas, comportamentos inesperados ou oportunidades de melhoria na experiência do usuário. • Documentará os processos, metodologias e resultados dos projetos de IA de maneira clara e acessível. • Participará no desenho de soluções de processos de negócio utilizando IA.

Role Description Your future role at a glance - Perform deep-dive data profiling on source datasets to evaluate quality, completeness, and anomalies, ensuring data is primed for integration into enterprise platforms. - Utilize Google BigQuery to execute complex SQL queries, validate transformations, and build reusable datasets and views to support downstream analytics. - Conduct detailed data flow analysis to map source-to-target relationships, establish data lineage, and identify dependencies across databases and applications. - Partner with product managers and data engineers to translate business needs into technical requirements and define scalable integration strategies. - Lead root cause analysis for data discrepancies and monitor quality metrics to implement effective remediation and cleansing strategies. - Support the testing of new ingestion pipelines and maintain comprehensive technical documentation, including schema metadata and system inventories. Qualifications - High School diploma equivalency with 2 years of cumulative experience OR Associate's degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required. Requirements - Strong SQL skills (advanced queries, views) for data extraction and validation using BigQuery SQL or equivalent tool such as Redshift. - Strong hands-on experience with data profiling tools (e.g., Informatica Data Quality, Talend, IBM InfoSphere, or techniques using SQL, specialized Python libraries and relational database knowledge). - Proficient in Healthcare data modeling (Star Schema, Dimensional), metadata management, and applying data governance and stewardship best practices. Benefits - Paid time off (PTO) - Various health insurance options & wellness plans - Retirement benefits including employer match plans - Long-term & short-term disability - Employee assistance programs (EAP) - Parental leave & adoption assistance - Tuition reimbursement - Ways to give back to your community