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Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Director, Real World Data Strategy

Corporate StrategyConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • An advanced degree in health research, life sciences, data science, quantitative sciences, or a related field is required; a PhD is preferred but not required.
  • 10+ years of relevant experience in real-world healthcare data, data strategy, market intelligence, life sciences, or consulting, with a demonstrated track record of translating complex business and scientific problems into data-driven strategies and outcomes.
  • Demonstrated experience applying artificial intelligence and advanced analytics in a real-world data, life sciences, or data strategy context, including familiarity with generative artificial intelligence, machine learning, or artificial-intelligence-enabled data tools.
  • Proven ability to operate 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 evolving external real-world data ecosystem.
  • Significant experience engaging with real-world data vendors and data partners, including negotiating and shaping strategic relationships.
  • Ability to identify, evaluate, and operationalize artificial-intelligence-driven opportunities that create tangible value for real-world data strategy and enterprise customers.
  • Strong ability to frame data and artificial intelligence opportunities in terms of business value, pipeline impact, and investment return.
  • Ability to synthesize complex data, artificial intelligence, and market intelligence into concise, compelling recommendations that influence senior decision-making.
  • Strong analytical and structured problem-solving skills, with experience building evaluation frameworks and investment cases.
  • Familiarity with analytic platforms, federated environments, and artificial intelligence and data science approaches relevant to real-world data access and exploration.
  • Knowledge of real-world data compliance requirements, including HIPAA and GDPR, and emerging considerations for artificial intelligence use in healthcare data contexts.
  • Exceptional oral and written communication skills across technical and non-technical audiences.
  • Collaborative, team-oriented approach and comfort operating in a fast-changing, cross-functional enterprise environment.

Responsibilities

  • Serve as the team's artificial intelligence innovation lead, setting direction for integrating artificial intelligence and advanced analytics into real-world data strategy, data evaluation, market intelligence, and evidence generation.
  • Identify, evaluate, and champion artificial-intelligence-enabled data opportunities and emerging technologies that enhance real-world data exploration, dataset assessment, and strategic decision-making at scale.
  • Translate the evolving artificial intelligence and data science landscape into practical applications aligned with research and development priorities and pipeline needs.
  • Model artificial-intelligence-forward thinking across the team and for customers by building shared literacy, frameworks, and best practices that elevate the team's collective artificial intelligence capability.
  • Align novel artificial-intelligence-driven research ideas with available real-world data assets to accelerate exploratory use cases and enable faster, more informed data-driven decisions across the enterprise.
  • Champion and communicate a forward-looking real-world data exploration strategy anchored in business priorities, translating research and development needs, pipeline goals, and evidence gaps into targeted data investment and exploration decisions.
  • Synthesize input from real-world data users, senior leaders, and cross-functional partners to define and evolve strategic priorities, ensuring each data initiative is tied to measurable business value.
  • Develop and present executive-ready business cases for real-world data investments, acquisitions, and licensing decisions, balancing strategic ambition with budget realities and portfolio needs.
  • Monitor and interpret the global real-world data ecosystem, including emerging datasets, vendors, technologies, artificial intelligence platforms, partnerships, and market trends, connecting evolving research questions and research and development needs with differentiated data sources and use cases.
  • Lead rigorous evaluation and piloting of priority real-world data sources, assessing fitness, quality, coverage, differentiation, and applicability, and translate findings into investment or adoption recommendations for senior stakeholders.
  • Establish scalable assessment frameworks, dashboards, and methodologies for consistent, repeatable evaluation and prioritization of real-world data opportunities across the enterprise portfolio.
  • Drive high-visibility engagement with senior leaders and cross-functional teams through ongoing consultations that support transparent, interactive strategy development and build trust and alignment.
  • Collaborate across Strategy, Acquisition, Data Product, Governance, Customer Success, and Research and Development stakeholder groups to turn exploration insights into actionable data, investment, partnership, and portfolio decisions.
  • Contribute to shared capabilities, best practices, and strategic frameworks across the enterprise real-world data strategy team, emphasizing artificial intelligence integration.
  • Identify, assess, and engage real-world data providers and external partners to evaluate differentiated partnership opportunities addressing emerging or unmet data needs, including artificial-intelligence-powered data and analytics platforms.
  • Lead assessment of real-world data partners for comprehensive data development capabilities and ensure partnerships create lasting strategic advantage.

Desired Qualifications

  • A PhD is preferred but not required.

About the Company

Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Bristol Myers Squibb discovers, develops and sells prescription medicines for serious illnesses, including cancer, blood disorders, immune diseases and heart disease, for patients treated by doctors and hospitals around the world. Its best-known drug is Opdivo, an immunotherapy that helps the body's own immune system find and attack many kinds of cancer. Researchers develop drug candidates in its labs or bring them in through acquisitions and partnerships, then test them in clinical trials to win regulatory approval. The company makes and markets the approved medicines and earns its revenue from sales of patent-protected drugs. Its roots go back to a business founded in 1887, and it is based in Lawrence Township, New Jersey.

Company size
10,001+
Company stage
IPO
Headquarters
Lawrence Township, NJ
Founded
1887

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