Director, Real World Data Strategy

bristolmyerssquibb; United States; Remote; USD 198,000 - 240,000; Full time

Job summary

Bristol Myers Squibb in the United States seeks a senior strategic advisor to shape enterprise strategy for real-world healthcare data, connecting research priorities with data investments and AI-enabled opportunities to support evidence generation and patient impact.

You will lead AI integration, evaluate data sources, build investment plans, and translate complex scientific questions into clear, data-driven recommendations for senior leaders and cross-functional teams.

Qualifications

• Advanced degree in health research, life sciences, data science, quantitative sciences, or a related field; a PhD is preferred but not required.
• 10+ years of relevant experience in real-world healthcare data, data strategy, life sciences, or consulting.
• Experience using AI or advanced analytics in real-world data settings, including familiarity with generative AI, ML, or AI-enabled tools.
• Deep knowledge of real-world data sources, evaluation methods, research applications, and the evolving data ecosystem.

Responsibilities

• Lead the integration of AI and advanced analytics into data strategy, source evaluation, market intelligence, and evidence-generation work.
• Translate research priorities, pipeline needs, and evidence gaps into focused data exploration and investment plans.
• Assess emerging datasets, providers, technologies, and partnerships for quality, coverage, differentiation, and fit with research needs.
• Develop business cases and recommendations for data acquisition, licensing, adoption, and partnership decisions.
• Build repeatable evaluation frameworks and communicate findings to senior leaders and cross-functional teams.
• Promote practical AI literacy and shared methods, linking new AI capabilities and research ideas to available data assets.

Skills

AI & analytics

Strategic advisory

Data strategy

Vendor partnerships

Education

Advanced degree in health research / life sciences / data science

PhD preferred

Tools

Generative AI familiarity

Job description

Role overview

Shape enterprise strategy for real-world healthcare data, connecting research and business priorities with data investments and AI-enabled opportunities. As a senior strategic advisor, you will guide how data sources are evaluated and used to support evidence generation, research decisions, and patient impact.

Responsibilities

• Lead the integration of AI and advanced analytics into data strategy, source evaluation, market intelligence, and evidence-generation work.
• Translate research priorities, pipeline needs, and evidence gaps into focused data exploration and investment plans.
• Assess emerging datasets, providers, technologies, and partnerships for quality, coverage, differentiation, and fit with research needs.
• Develop business cases and recommendations for data acquisition, licensing, adoption, and partnership decisions.
• Build repeatable evaluation frameworks and communicate findings to senior leaders and cross-functional teams.
• Promote practical AI literacy and shared methods, linking new AI capabilities and research ideas to available data assets.

Requirements

• Advanced degree in health research, life sciences, data science, quantitative sciences, or a related field; a PhD is preferred but not required.
• At least 10 years of relevant experience in real-world healthcare data, data strategy, market intelligence, life sciences, or consulting.
• Demonstrated use of AI or advanced analytics in a real-world data, life sciences, or data strategy setting, including familiarity with generative AI, machine learning, or AI-enabled tools.
• Deep knowledge of real-world data sources, evaluation methods, research applications, and the evolving data ecosystem.
• Experience advising senior leaders in complex organizations and working with data vendors or partners, including shaping strategic relationships.
• Strong business judgment and ability to turn complex scientific and commercial questions into clear, data-driven recommendations.

Benefits and work setup

The listed U.S. compensation range is $197,800–$239,681, with potential eligibility for additional cash incentives and stock awards. Eligible benefits may include medical, dental, vision, life and disability insurance, retirement and financial support, flexible or accrued paid time off depending on employee category, company holidays, and other leave options. The posting describes several work models but does not specify which one applies to this role.