FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in driving product strategy and managing cross-functional teams in healthcare product management, with a strong focus on AI, machine learning, and data analytics. Capable of applying design thinking to develop innovative solutions while ensuring compliance with healthcare regulations.
Highest-signal resume keywords
Healthcare Product Management ExperienceFluency in Data, AI, and Machine Learning ConceptsA/B Testing and Quantitative Measurement ExperienceTechnical Competency in Data and AnalyticsStakeholder Alignment in Matrixed Organizations
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 StrategyExperimentation and Measurement StrategyData Quality and IntegrationDecisioning Engine WorkflowsDesign ThinkingModel Evaluation MetricsAgile MethodologiesCustomer Co-InnovationProblem FramingRoadmap Prioritization
Soft Skills
Influencing Cross-Functional PartnersStakeholder CommunicationCollaboration
Industry Keywords
Healthcare Regulatory ComplianceFairness and Explainability in AIBiopharma ExpertisePayer Expertise
About the role
Key responsibilities & impact- Drive product strategy for the Next Best Action initiative
- Define signals, use cases, and workflows for the recommendation/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, and trade-offs
- 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, including fairness, explainability, and healthcare regulatory and privacy compliance
- Align stakeholders across a large, matrixed organization
- 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 solutions, and drive MVP delivery and customer co-innovation
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 (e.g., Agile)
- Fluency in data, AI, and machine learning concepts
- Experience defining and using experimentation (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
- Ability to partner credibly with Data Science and ML Engineering on problem framing, model trade-offs, and evaluation metrics in a healthcare setting
Benefits
Comp & perks- Competitive compensation package
- Annual bonus may be offered
- Long-term incentive opportunities may be offered
- McKesson Total Rewards benefits package
- Equal employment opportunities
- Reasonable accommodation for job search or application