Data Science & Machine Learning Product Manager

Role Overview

Own the end-to-end product evolution of a healthcare analytics platform toward more advanced Machine Learning (ML) and AI. You will translate healthcare and benefits problems into a prioritized roadmap, lead data- and model-driven feature development, and ensure successful production delivery and customer adoption.

Responsibilities

• Own the product lifecycle end-to-end: discovery → concept → build → launch → implementation → adoption → ongoing customer success
• Develop and prioritize a roadmap balancing clinical value, financial impact, operational feasibility, and delivery capacity
• Convert customer healthcare needs into product requirements, user workflows, and measurable success metrics tied to business outcomes
• Evaluate and deliver ML/AI use cases (e.g., risk prediction, prioritization, intervention targeting), ensuring models are production-ready and monitored
• Partner with data science and engineering to define data needs, guide experimentation, validate performance, and improve models using real-world outcomes
• Implement lightweight product/model development processes to improve speed, quality, and repeatability across releases
• Lead implementation planning with customer teams, remove adoption blockers, and ensure fit to real operational workflows
• Monitor product performance and customer value realization; iterate features and inform the roadmap with outcome insights
• Coordinate across clinical, operational, finance, and customer-facing stakeholders
• Provide crisp documentation and executive-ready updates on status, tradeoffs, and outcomes

Requirements

• 5+ years hands-on experience delivering data science, ML, and AI product development
• 5+ years partnering with health plans/health systems (or similar) to identify analytics opportunities, drive adoption, and iterate via measured results
• 5+ years experience working within a health plan, PBM, health system, pharmacy, and/or digital health organization
• Demonstrated ability to own products end-to-end: concept → execution → implementation/adoption → customer success

Preferred Qualifications

• Prior startup experience; comfortable operating in evolving products, processes, and ambiguity
• Experience collaborating broadly across data science, data engineering, DevOps, clinical teams (pharmacists), finance, customer success, and product leadership
• Exceptional communication skills, including explaining technical concepts/model behavior to non-technical audiences