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Posted: 10/19/2026Director, Real World Data Strategy
Bristol Myers SquibbCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in integrating artificial intelligence and advanced analytics into real-world data strategies, with a strong focus on translating complex data and AI opportunities into actionable business value. Proven ability to engage with stakeholders and lead cross-functional teams in a dynamic healthcare environment.
Highest-signal resume keywords
AI-Enabled Data StrategyReal-World Data ExpertiseAdvanced Analytics ApplicationStakeholder EngagementBusiness Case Development
About the role
Key responsibilities & impact- Serve as the AI innovation lead for the enterprise Real-World Data Strategy team
- Set direction for integrating artificial intelligence and advanced analytics into RWD strategy, data evaluation, market intelligence, and evidence generation
- Identify, evaluate, and champion AI-enabled data opportunities and emerging technologies
- Translate AI and data science developments into practical applications aligned with BMS R&D priorities and pipeline needs
- Build AI literacy, frameworks, and best practices across the team and for customers
- Align AI-driven research ideas with available RWD assets to accelerate exploratory use cases
- Develop and communicate a forward-looking RWD exploration strategy anchored in BMS business priorities
- Translate R&D needs, pipeline goals, and evidence gaps into data investment and exploration decisions
- Synthesize stakeholder input to define strategic priorities and measurable business value
- Develop and present executive-ready business cases for RWD investments, acquisitions, and licensing decisions
- Monitor and interpret the global RWD ecosystem, including datasets, vendors, technologies, AI platforms, partnerships, and market trends
- Lead evaluation and piloting of priority RWD sources and provide investment or adoption recommendations
- Establish scalable assessment frameworks, dashboards, and methodologies for evaluating RWD opportunities
- Engage senior leaders and cross-functional teams through ongoing consultations
- Collaborate across Strategy, Acquisition, Data Product, Governance, Customer Success, and R&D groups
- Contribute to shared capabilities, best practices, and strategic frameworks across the enterprise RWD Strategy team
- Identify, assess, and engage RWD data providers and external partners
- Lead assessment of RWD partners and strategic partnership opportunities
Requirements
What you’ll need- Advanced degree in health research, life sciences, data science, quantitative sciences, or a related field
- 10+ years of relevant experience in real-world healthcare data, data strategy, market intelligence, life sciences, or consulting
- Demonstrated track record translating complex business and scientific problems into data-driven strategies and outcomes
- Experience applying AI and advanced analytics in an RWD, life sciences, or data strategy context
- Familiarity with generative AI, machine learning, or AI-enabled data tools
- Experience operating as a strategic advisor to senior leaders in a complex, matrixed life sciences organization
- Deep expertise in real-world data sources, data evaluation approaches, research and analytic applications, and the external RWD ecosystem
- Significant experience engaging with RWD vendors and data partners, including negotiating and shaping strategic relationships
- Ability to identify, evaluate, and operationalize AI-driven opportunities
- Strong business acumen and ability to frame data and AI opportunities in terms of business value, pipeline impact, and investment return
- Ability to synthesize complex data, AI, and market intelligence into concise recommendations for senior decision-makers
- Strong analytical and structured problem-solving skills
- Experience building evaluation frameworks and investment cases
- Familiarity with analytic platforms, federated environments, and AI/data science approaches relevant to RWD access and exploration
- Knowledge of RWD compliance requirements, including HIPAA and GDPR, and emerging AI considerations in healthcare data
- Exceptional oral and written communication skills across technical and non-technical audiences
- Collaborative, team-oriented mindset in a fast-changing, cross-functional enterprise environment
- PhD preferred but not required
Benefits
Comp & perks- Additional discretionary incentive cash
- Stock opportunities
- Wellbeing support
- Retirement and financial protection benefits
- Medical, dental, vision, life, and disability insurance offerings
- Flexible Time Off (FTO) without a set accrual limit for eligible U.S.-based exempt employees
- 11 paid company holidays annually
- 160 hours of paid vacation annually for eligible new hires in specified employee categories
- 3 optional holidays for eligible employees in specified employee categories
- Paid sick leave, subject to eligibility
- Up to two paid volunteer days per year
- Summer hours flexibility
- Medical, personal, parental, caregiver, bereavement, and military leaves of absence
- Annual Global Shutdown between Christmas Day and New Year's Day
- Workplace accommodations/adjustments and ongoing support for people with disabilities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EvaluationMarket IntelligenceAI and Machine LearningData-Driven StrategyEvaluation FrameworksQuantitative AnalysisResearch ApplicationsData SynthesisInvestment Return AnalysisCompliance Knowledge
Soft Skills
Analytical Problem-SolvingExceptional CommunicationCollaborative MindsetStrategic Advisory SkillsTeam Orientation
Tools & Technologies
Analytic PlatformsAI PlatformsFederated EnvironmentsData Science ApproachesRWD Ecosystem Tools
Industry Keywords
Health ResearchLife SciencesReal-World DataHealthcare ComplianceHIPAAGDPRData StrategyEmerging TechnologiesStrategic PartnershipsData Providers