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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading product strategy for Next Best Action initiatives, leveraging data, AI, and machine learning concepts to drive decision-making and experimentation in healthcare contexts. Proven ability to align cross-functional teams and stakeholders while ensuring compliance with responsible AI practices.
Highest-signal resume keywords
Healthcare Product Management ExperienceA/B Testing and ExperimentationData Science and AI/ML Technical CompetencyStakeholder Engagement in Matrixed EnvironmentsFinancial Acumen Related to P&L Outcomes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product Strategy DevelopmentData AnalysisMachine Learning ConceptsExperimentation DesignQuantitative MeasurementAgile MethodologiesRoadmap PrioritizationDecisioning Engine WorkflowsDesign ThinkingCustomer Co-Innovation
Soft Skills
Influencing Cross-Functional PartnersStakeholder EngagementPrioritizationComfort Operating in AmbiguityContinuous Improvement
Industry Keywords
Responsible AI PrinciplesHealthcare RegulationsBiopharma ExpertisePayer ExpertisePatient Support ProgramsEnrollment WorkflowsHCP-Facing ProductsProduct-Market DynamicsCompetitive Landscapes
About the role
Key responsibilities & impact- Lead the Next Best Action initiative end to end
- Drive product strategy for Next Best Action using data, discovery, and research
- Define signals, use cases, and workflows for the recommendation and decisioning engine
- Translate business and customer goals into a roadmap for the model and product experience
- Partner with Data Science and ML Engineering on problem framing, success criteria, model trade-offs, and evaluation metrics
- Own experimentation and measurement strategy, including A/B tests and feedback loops
- Partner with Data Engineering on data quality, access, and integration foundations
- Champion responsible AI practices to ensure recommendations are fair, explainable, and compliant with healthcare regulations and privacy requirements
- Align stakeholders across a large, matrixed organization and clarify trade-offs
- Influence cross-functional partners across Engineering, Data Science, UX, Commercial, and Operations
- Own and communicate roadmap priorities to leadership
- Apply design thinking to solve complex problems, iterate on solutions, drive MVP delivery, and support customer co-innovation opportunities
Requirements
What you’ll need- 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
- Fluency in data, AI, and machine learning concepts
- Experience defining and using experimentation, including A/B testing, and quantitative measurement
- Experience working in cross-functional product teams spanning Engineering, Data Science, UX, Operations, and Commercial partners
- Technical competency with direct experience in data and analytics, data science, or AI/ML
- Healthcare experience, preferably Biopharma and/or Payer expertise
- Familiarity with responsible AI principles, including fairness, explainability, and bias mitigation, in regulated healthcare contexts
- 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 connecting product decisions to P&L outcomes and business goals
- Proven stakeholder engagement and influence skills in matrixed environments
- Ability to prioritize effectively across competing initiatives and drive alignment toward execution
- Comfort operating in ambiguity with a bias toward action and continuous improvement
Benefits
Comp & perks- Competitive compensation package
- Annual bonus may be offered
- Long-term incentive opportunities may be offered
- Benefits information provided through McKesson’s Total Rewards program
- Equal employment opportunities
- Reasonable accommodation for job search or application