Sr Product Manager - Healthcare AI

McKesson (CoverMyMeds) is hiring a Senior Product Manager to lead a Next Best Action (NBA) initiative for healthcare. This role uses data, AI, and machine learning to drive recommendations and decisioning across the care journey. You will own the initiative end to end, partnering with Data Science, Data Engineering, and cross-functional teams to shape strategy, experimentation, measurement, and responsible AI in a regulated setting.

Location: Columbus, OH (onsite)
Base pay range: USD 119,300 - 198,800 per year

What you’ll do

• Lead the product strategy for Next Best Action, using data, discovery, and research to ground decisions
• Define which signals, use cases, and workflows the recommendation and decisioning engine should prioritize, and translate business and customer goals into a roadmap for both the model and the product experience
• Collaborate with Data Science and ML Engineering on problem framing, success criteria, and trade-offs, applying product judgment without owning model development
• Own experimentation and measurement for recommendations: define what “good” looks like, design and run A/B tests, and create feedback loops to improve recommendation quality over time
• Partner with Data Engineering to strengthen data foundations, including quality, access, and integration required by the recommendation engine
• Champion responsible AI by ensuring recommendations are fair, explainable, and aligned with healthcare regulatory and privacy requirements in partnership with Legal, Privacy, and Compliance
• Navigate complexity in a large, matrixed organization by aligning stakeholders, clarifying trade-offs, and building trust to move work forward
• Influence and align partners across Engineering, Data Science, UX, Commercial, and Operations to secure buy-in on priorities and product direction
• Own and communicate roadmap priorities to leadership with transparency into progress, trade-offs, and decisions at every phase
• Apply design thinking approaches to solve complex problems, iterate on solutions, and support MVP delivery and customer co-innovation opportunities

What you’ll bring

• Degree or equivalent experience; typically requires 7+ years of relevant experience
• Healthcare product management experience, or familiarity with technical product development methodologies such as Agile
• Demonstrated fluency in data, AI, and machine learning concepts to partner credibly on problem framing, model trade-offs, and evaluation metrics in healthcare
• Experience defining and using experimentation (including A/B testing) and quantitative measurement to guide product decisions
• Experience working in cross-functional product teams across Engineering, Data Science, UX, Operations, and Commercial partners
• Technical competency with direct experience in data and analytics, data science, or AI/ML to partner credibly with Data Science and ML Engineering
• Healthcare experience, preferably Biopharma and/or Payer expertise

Preferred skills

• Experience building or launching a recommendation engine, decisioning system, or personalization capability
• Familiarity with responsible AI principles such as fairness, explainability, and bias mitigation in a regulated healthcare context
• Experience with healthcare technology, patient support programs, enrollment workflows, or HCP-facing products
• Strong understanding of product-market dynamics, customer needs, and competitive landscapes
• Financial acumen, including linking product decisions to P&L outcomes and business goals
• Proven stakeholder engagement and influence skills in matrixed environments
• Ability to prioritize across competing initiatives and align teams toward execution
• Comfort operating in ambiguity with a bias toward action and continuous improvement