Product Manager

CVS Health is building a world of health around every individual, aiming to simplify health care for communities. They are seeking a Product Manager to lead the delivery of analytics products within Caremark's sales and underwriting portfolio, collaborating with data scientists, engineers, and business stakeholders.

Responsibilities:

• You'll own the roadmap, requirements, and end-to-end delivery for one or more analytics products serving sales and underwriting teams
• You'll write clear, technically informed requirements that data science and engineering can execute against without ambiguity
• You'll set and track KPIs, manage prioritization across competing requests, synthesize stakeholder feedback into product direction, and ship incrementally — measuring outcomes and iterating
• You'll bridge technical teams and business leaders across sales, underwriting, finance, and risk

Requirements:

• 5+ years of product management experience, with at least 2 years owning analytics, data, BI, or ML/AI products
• Strong technology and analytics foundation — ideally grown into product from a quantitative or technical role
• Hands-on enough to read API docs, challenge technical trade-offs, and pull your own data in SQL when you need to
• Working understanding of the ML/AI lifecycle (training, validation, deployment, monitoring) — enough to define realistic success metrics and to push back when AI isn't the right answer
• Track record shipping data or analytics products that business users adopted, with measurable outcomes
• Experience working in Agile/Scrum delivery environments
• Manages competing priorities across executives, engineers, and business users without losing trust or momentum
• Bachelor's degree required, ideally in a quantitative, technical, or business field
• Experience shipping analytics, AI, ML, or data products in healthcare, PBM, insurance, or financial services
• Familiarity with cloud data platforms (Databricks, Snowflake, GCP, Azure, AWS) and modern tools & frameworks (Streamlit, Distributed processing, inference)
• Familiarity with regulatory and compliance constraints on analytics product decisions (HIPAA, SOC 2, or similar)
• MBA or equivalent advanced degree