Senior Product Analyst

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 aSeniorProductAnalyst,youserve as a key product partner responsible for translating business, clinical, and operational needsinto 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 supportconnectingthestrategy to execution withdata scientists,data engineers,andoperations. Your teamisfocusedon novel insight generationfrom clinical and claims datausing AIfor applicationwithin various CVS Health programs. 

Responsibilities:

• Own the definition and documentationof product requirements, user stories, and acceptance criteria. 

• Maintain and refine the product backlog in partnership with the Product Manager and Operations. 

• Supportadherence to and measurement offeature 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 ofgo-live timelines with your core data science team and engineering partners; align on timelines and scope with stakeholders. 

• Leadproblem solving and prioritizationfor 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.

Required Qualifications

• 1-2+ years of working experience.

• Experienceinproduct 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 environmentdriving consensus and fostering collaborative decision-making processes.

• Demonstrated abilitywith data and metrics management and reporting.

• Ability to drive outcomes inacomplex environmentand navigate ambiguity.

• Strong excel and visualization skills. 

• Strong organizational skills and ability to manage multipleworkstreamssimultaneously.

Preferred Qualifications

• Experience working with healthcare data (claims, EHR, clinical datasets, or healthcare operations data).

• SQL skills and experience working with large datasetsand/orwith data visualization tools (Tableau, Looker, Power BI, or similar)

• Exposure to executives andsupportingexecutive-ready data filesand 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.

Education

• Bachelor’s degree inDataScience, Statistics, Computer Science, Healthcare Informatics, Economics, or a relatedfield.