Product Manager - AI Healthcare Claims

CVS Health is hiring a Product Manager to lead discovery and delivery for an AI platform used in healthcare claims processing. The role owns a delivery squad’s roadmap, partners with data science and cross-functional teams, and drives product outcomes including operational efficiency, decision quality, and user adoption.

Responsibilities:

• Leading user research and discovery with claims processors and operations teams to understand workflows, friction points, and opportunities for AI-driven decision support
• Owning the squad backlog and sprint delivery: writing requirements, setting priorities, and making scope tradeoffs with a clear eye on outcomes
• Partnering with Data Scientists to define model logic, validation criteria, and the product rules that determine what the system recommends and why
• Driving cross-functional delivery across engineering, UX, and business stakeholders in a matrixed environment
• Defining and tracking success metrics tied to operational efficiency, decision quality, and user adoption
• Representing product decisions clearly to senior leadership and operational partners

Requirements:

• 3+ years of Product Management experience with demonstrated ownership of a product from discovery through delivery
• 2+ years of experience partnering with Data Science and Engineering teams to ship AI, ML, or analytics-powered products
• 2+ years of experience conducting user research and translating complex operational workflows into buildable product requirements
• 2+ years of experience leading cross-functional delivery in complex organizational environments with multiple technical and business stakeholders
• 2+ years of experience working in Agile environments: backlog ownership, sprint planning, and scope management
• 2+ years demonstrating strong verbal and written communication skills, with the ability to represent product decisions clearly to both technical and non-technical audiences
• Bachelor's degree required
• Experience in healthcare claims processing, utilization management, or a similarly regulated, high-stakes workflow environment
• Background building products for frontline operations or internal enterprise users
• Familiarity with compliance-sensitive data environments (PII, PHI, or equivalent)
• Experience with workflow analysis or operational efficiency tooling
• preferably in Computer Science, Engineering, Data Science, Business, or a related analytical field
• Master's degree or MBA is a plus