Sr Product Manager - Healthcare AI

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.CoverMyMeds’ Shared Capabilities and Partnerships product team is looking for a Senior Product Manager to lead our Next Best Action (NBA) initiative — someone who is genuinely energized by data, AI, and machine learning, and who knows how to turn that curiosity into a recommendation and decisioning capability that drives real outcomes across the care journey. This role requires the ability to translate ambiguous, data-rich problems into a clear product strategy, and to build the trust needed to align stakeholders across a large, matrixed organization.About the RoleThe Senior Product Manager will own the Next Best Action initiative end to end: defining what “best” means for the users and workflows we serve, partnering with Data Science and Data Engineering to build the decisioning capability that gets there, and continuously improving it through experimentation. You’ll operate at the intersection of product strategy and applied AI/ML — not writing the models yourself, but framing the problems, prioritizing the signals, and holding the bar on measurement and responsible use.What You’ll DoDrive product strategy for Next Best Action, grounding decisions in data, discovery, and researchDefine which signals, use cases, and workflows the recommendation/decisioning engine should prioritize, and translate business and customer goals into a roadmap for the model and product experiencePartner closely with Data Science and ML Engineering to shape problem framing, success criteria, and trade-offs — bringing product judgment to model development without owning the modeling itselfOwn the experimentation and measurement strategy for recommendations: define what “good” looks like, design A/B tests, and build feedback loops that continuously improve recommendation qualityPartner with Data Engineering on the data foundations — quality, access, and integration — that the recommendation engine depends onChampion responsible AI practices, ensuring recommendations are fair, explainable, and compliant with healthcare regulatory and privacy requirements, in partnership with Legal, Privacy and ComplianceNavigate complexity across a large, matrixed organization — aligning stakeholders, clarifying tradeoffs, and building the trust needed to move work forwardInfluence and align cross-functional partners across Engineering, Data Science, UX, Commercial, and Operations to gain buy-in on product direction and prioritiesOwn and communicate roadmap priorities to leadership, ensuring transparency on progress, tradeoffs, and decisions at every phaseApply design thinking methodologies to solve complex problems, iterate on solutions, and drive MVP delivery and customer co-innovation opportunitiesSkills You’ll NeedDegree or equivalent experience. Typically requires 7+ years of relevant experienceHealthcare Product Management experience or familiarity with technical product development methodologies (e.g., Agile)Demonstrated fluency in data, AI, and machine learning concepts — enough to partner credibly with Data Science and ML Engineering on problem framing, model trade-offs, and evaluation metrics in a Healthcare settingExperience defining and using experimentation (A/B testing) and quantitative measurement to guide product decisionsExperience working in cross-functional product teams spanning Engineering, Data Science, UX, Operations, and Commercial partnersTechnical competency with direct experience in data and analytics, data science, or AI/ML, enough to partner credibly with Data Science and ML Engineering on problem framing, model trade-offs, and evaluation metricsHealthcare experience, preferably Biopharma and/or Payer expertisePreferred SkillsPrior experience building or launching a recommendation engine, decisioning system, or personalization capabilityFamiliarity with responsible AI principles (fairness, explainability, bias mitigation) and how they apply in a regulated healthcare contextExperience with healthcare technology, patient support programs, enrollment workflows, or HCP-facing productsStrong understanding of product-market dynamics, customer needs, and competitive landscapesFinancial acumen, including experience connecting product decisions to P&L outcomes and business goalsProven stakeholder engagement and influence skills in matrixed environmentsAbility to prioritize effectively across competing initiatives and drive alignment toward executionComfort operating in ambiguity with a bias toward action and continuous improvementWe are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.Our Base Pay Range for this position$119,300 - $198,800McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.McKesson job postings are posted on our career site: careers.mckesson.com.McKesson is an Equal Opportunity EmployerMcKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) View email address on us.fitly.work or (Canada) View email address on us.fitly.work. Resumes or CVs submitted to this email box will not be accepted.Join us at McKesson!SummaryLocation: USA, OH, Columbus; Work at Home - Ohio, USA (WOHA); Work at Home - Texas, USA (WTXA); Work at Home - Georgia, USA (WGAA); USA, TX, IrvingType: Full time