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Sr Product Manager - Healthcare AI

MCKESSON Columbus, OH

Columbus, OH

Today

$119k - $199k/yr Full time Data Analytics Healthcare Ai Product Analytics

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Job Description

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

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