Director, Real World Data Strategy

Bristol Myers Squibb
•$197,800 - $239,681•Remote

About The Position

The Director, Real World Data Strategy is a member of Bristol Myers Squibb’s enterprise Real-World Data (RWD) Strategy team. This business-focused role translates BMS business and R&D priorities into actionable RWD strategies and leads the adoption and application of AI to improve how the organization identifies, evaluates, acquires, and deploys real-world data assets. The work supports evidence generation, competitive differentiation, and patient impact. The Director serves as the team’s AI innovation lead, connecting developments in the external RWD and AI landscape with BMS’s internal needs. The role ensures data and technology investments are grounded in clear business value and strategic alignment, and requires deep domain expertise, AI fluency, executive presence, analytical rigor, and a focus on business outcomes. The position involves developing RWD exploration and investment strategies; identifying and evaluating data sources, vendors, technologies, and partnerships; building assessment frameworks and business cases; advising senior leaders; and collaborating across strategy, acquisition, data product, governance, customer success, and R&D teams. The role also leads evaluation of RWD partners and supports strategic relationships that address data needs and create lasting advantage for BMS.

Requirements

  • Advanced degree in health research, life sciences, data science, quantitative sciences, or a related field; a PhD is preferred but not required.
  • 10 or more years of relevant experience in real-world healthcare data, data strategy, market intelligence, life sciences, or consulting.
  • Track record of translating complex business and scientific problems into data-driven strategies and outcomes.
  • Demonstrated experience applying AI and advanced analytics in an RWD, life sciences, or data strategy context, including familiarity with generative AI, machine learning, or AI-enabled data tools.
  • Experience serving as a strategic advisor to senior leaders in a complex, matrixed life sciences organization.
  • Deep expertise in RWD 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 that create tangible value for RWD strategy and enterprise customers.
  • 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 that influence senior decision-making.
  • Strong analytical and structured problem-solving skills, including 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 considerations for AI use in healthcare data contexts.
  • Exceptional oral and written communication skills for technical and non-technical audiences.
  • Collaborative, team-oriented approach and comfort working in a fast-changing, cross-functional enterprise environment.

Nice To Haves

  • PhD in health research, life sciences, data science, quantitative sciences, or a related field.

Responsibilities

  • Serve as the RWD Strategy team’s AI innovation lead, setting 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 that improve RWD exploration, dataset assessment, and strategic decision-making.
  • Translate AI and data science developments into practical applications aligned with BMS R&D priorities and pipeline needs.
  • Build shared AI literacy, frameworks, and best practices across the team and with customers.
  • Align AI-driven research ideas with available RWD assets to enable exploratory use cases and faster data-driven decisions.
  • Develop and communicate an RWD exploration strategy anchored in BMS business priorities, R&D needs, pipeline goals, and evidence gaps.
  • Synthesize input from RWD users, senior leaders, and cross-functional partners to define strategic priorities and connect data initiatives to measurable business value.
  • Develop and present executive-ready business cases for RWD investments, acquisitions, and licensing decisions, balancing strategic aims with budgets and portfolio needs.
  • Monitor and interpret the global RWD ecosystem, including datasets, vendors, technologies, AI platforms, partnerships, and market trends, and connect research questions and R&D needs with data sources and use cases.
  • Lead evaluation and piloting of priority RWD sources, assessing fitness, quality, coverage, differentiation, and applicability, and recommend investment or adoption to senior stakeholders.
  • Establish scalable assessment frameworks, dashboards, and methodologies for consistent RWD opportunity evaluation and prioritization across the enterprise portfolio.
  • Engage senior leaders and cross-functional teams through ongoing consultations and transparent strategy development to build trust and alignment.
  • Collaborate with Strategy, Acquisition, Data Product, Governance, Customer Success, and R&D stakeholders to turn exploration insights into data, investment, partnership, and portfolio decisions.
  • Contribute as a thought leader to enterprise RWD Strategy team capabilities, best practices, and strategic frameworks, particularly in AI integration.
  • Identify, assess, and engage RWD data providers and external partners, including AI-powered data and analytics platforms, to address emerging or unmet data needs.
  • Assess RWD partners’ data development capabilities and lead evaluations of partnerships to ensure they create lasting strategic advantage for BMS.

Benefits

  • Comprehensive benefit plans, including wellbeing support, retirement and financial protection benefits, and medical, dental, vision, life, and disability insurance.
  • Flexible Time Off (FTO) without a set accrual limit for eligible U.S.-based exempt employees, subject to manager approval.
  • 11 paid company holidays each year for U.S.-based exempt employees.
  • For certain employee groups, 160 hours of paid vacation annually for new hires, 11 paid company holidays, and 3 optional holidays.
  • Depending on eligibility, paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs.
  • Eligible employees receive an annual Global Shutdown between Christmas Day and New Year’s Day.
  • Potential eligibility for discretionary incentive cash and stock opportunities.
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