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We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health’s Analytics & Behavior Change (A&BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights driving growth, health outcome improvements, and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers. The A&BC organization is looking to grow its Product team supporting Clinical Data Science & AI. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S. As a Senior Product Analyst, you serve as a key product partner responsible for translating business, clinical, and operational needs into clear product requirements and deliverables. This role operates similarly to a Product Owner, responsible for the day-to-day execution of product development within an agile team. The Product Manager will set the strategy and vision, and you will support connecting the strategy to execution with data scientists, data engineers, and operations. Your team is focused on novel insight generation from clinical and claims data using AI for application within various CVS Health programs.
Job Responsibility:
Own the definition and documentation of product requirements, user stories, and acceptance criteria
Maintain and refine the product backlog in partnership with the Product Manager and Operations
Support adherence to and measurement of feature KPIs that are aligned with the overall program
Translate high-level product strategy into detailed, functional specifications and workflows
Ensure requirements are clear, feasible, and testable for your data scientists and engineers
Work closely with clinicians and operations to confirm business value, inform problem statements, and quantify the value of your team's potential solution
Facilitate sprint planning, backlog refinement, and retrospectives
Support the development of go-live timelines with your core data science team and engineering partners
align on timelines and scope with stakeholders
Lead problem solving and prioritization for your team, factoring in trade-offs between speed, scalability, accuracy, and quality
Liaise with clinicians to validate clinical AI model results and to facilitate review and refinement
Gather requirements, set-up product demos, and support feedback loops for your team with stakeholders
Work with internal customers, end users, and other stakeholders to maintain product roadmaps
Analyze product performance metrics, identifying opportunities for improvement and optimization
Clarify and coordinate dependencies with other product teams and stakeholders and mitigate the risks and dependencies proactively
Follow agile best practices including but not limited to working with and leading a scrum team
Requirements:
1-2+ years of working experience
Experience in product management or ownership, product analytics, data analysis, consulting, or product operations
Experience supporting digital products, analytics platforms, or data products
Demonstrated ability to operate effectively within a complex stakeholder environment driving consensus and fostering collaborative decision-making processes
Demonstrated ability with data and metrics management and reporting
Ability to drive outcomes in a complex environment and navigate ambiguity
Strong excel and visualization skills
Strong organizational skills and ability to manage multiple workstreams simultaneously
Nice to have:
Experience working with healthcare data (claims, EHR, clinical datasets, or healthcare operations data)
SQL skills and experience working with large datasets and/or with data visualization tools (Tableau, Looker, Power BI, or similar)
Exposure to executives and supporting executive-ready data files and data storytelling
Strong interest in the Healthcare sector
the ideal candidate should be passionate about making healthcare more efficient and want to be part of a transformational change in the Healthcare industry