Product Manager

CVS Health•New York, MA

19h•$83,430 - $203,940•Onsite

About The Position

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 We're hiring a Product Manager to own delivery of analytics products within Caremark's sales and underwriting portfolio — partnering with data scientists, engineers, and business stakeholders to ship tools that get adopted, not just demoed.

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.

Nice To Haves

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

Responsibilities

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