Senior Technical Product Manager – AI / ML

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.

Summary CVS Health’s Analytics & Behavior Change (A&BC) organization tackles complex challenges at the intersection of healthcare and technology. We use advanced analytics, machine learning, modeling, and hypothesis‑driven approaches to turn data into actionable insights that drive growth, improve outcomes, and increase access to care across 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 advanced analytic automation and smart routing. 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 Technical Product Manager within A&BC, you will be responsible for contributing to the creation, launch, and maintenance of AI-powered analytics support Aetna clinicians. This role requires a strong understanding of Product Management, Machine Learning algorithms, AI-powered insights acceleration, and cross-team collaboration. The ideal candidate has strong data literacy, experience with MLOps, threshold tuning & statistical risk management and experience with clinical policy and workflow integration. This person can work effectively with cross-functional teams, most importantly data scientists and machine learning engineers, to bring clinical data and AI/ML products from inception to production.

Create product requirements documents, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Leadership teams. Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand the end users and the business problem being solved. Ensure end-to-end insight and collaboration. Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, accuracy, and quality. Be prepared to get into technical details during discovery and while supporting the team to make trade-off decisions. Facilitate cross-team hand-offs and define data SLAs and interface contracts with upstream and downstream teams. Develop go-live timelines with your core data science team and engineering partners; align timelines and scope with multiple developer teams and stakeholders. Work closely with clinicians and operations to confirm business value, inform problem statements, and quantify the value of your team’s potential solution. Liaise with clinicians to validate model results and to facilitate review and refinement. Define, track, and analyze product performance metrics to drive feature prioritization and demonstrate ROI. Work with internal customers and executive stakeholders to maintain product roadmaps. Follow Agile best practices, including directly leading and guiding a dedicated scrum team of data scientists and software engineers.

5+ years of overall work experience. 3+ years’ experience working cross-functionally with Machine Learning Engineering and Data Science. 2 years’ Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers). 2+ years’ experience working with AI, data analytics, data products, and/or complex