Senior Director, Field Medical Analytics
Bristol Myers Squibb
July 02, 2026
Remote friendly (Princeton, NJ)
United States
Medical Affairs
Summary:
- Lead global strategy, development, and execution of advanced field medical analytics capabilities to deliver data-driven insights and optimize decision-making across therapeutic areas.
- Define the vision/roadmap for field medical analytics, integrate AI-driven solutions, and ensure governance and compliance.
- Oversee analytics frameworks supporting field medical engagement, clinical trial performance, and medical insights; partner with Medical Affairs, Commercialization, Business Insights & Technology, and CASA.
Responsibilities:
- Advise US/international field medical executives; lead BU-aligned analytics teams.
- Collaborate cross-functionally (Commercial, Market Access, Field Excellence, Medical, IT) to align strategies and investments.
- Translate business challenges into roadmaps for capability development, analytics integration, and AI innovation.
- Oversee actionable insights for field strategy, customer segmentation, impact measurement, and continuous learning.
- Lead AI-driven KOL/Thought Leader mapping; build AI HCP segmentation/targeting using real-world data, claims, and behavioral signals.
- Enable scalable AI/ML pipelines for real-time intelligence into Field Medical workflows and CRM platforms.
- Identify medical care gaps; measure/improve engagement effectiveness and strengthen launch readiness.
- Build US/global analytics capabilities, establish best practices, coach teams, and drive change management.
Qualifications:
- Bachelor’s degree required; MBA/advanced degree strongly preferred.
- 12+ years in medical/commercial/marketing/insights within pharma/biotech/healthcare.
- Deep expertise in customer insights, omnichannel engagement, commercial analytics, and AI-driven solutions in US healthcare.
- Experience leading large cross-functional/matrix teams; leading complex strategic initiatives and AI change.
- Skills in predictive modeling, machine learning, agentic AI, data storytelling/visualization, cloud data platforms, NLP/conversational analytics.
- Ability to operationalize AI personalization/segmentation, manage change, and ensure medical data analytics compliance.
Benefits & application instructions:
- Not included.
- Lead global strategy, development, and execution of advanced field medical analytics capabilities to deliver data-driven insights and optimize decision-making across therapeutic areas.
- Define the vision/roadmap for field medical analytics, integrate AI-driven solutions, and ensure governance and compliance.
- Oversee analytics frameworks supporting field medical engagement, clinical trial performance, and medical insights; partner with Medical Affairs, Commercialization, Business Insights & Technology, and CASA.
Responsibilities:
- Advise US/international field medical executives; lead BU-aligned analytics teams.
- Collaborate cross-functionally (Commercial, Market Access, Field Excellence, Medical, IT) to align strategies and investments.
- Translate business challenges into roadmaps for capability development, analytics integration, and AI innovation.
- Oversee actionable insights for field strategy, customer segmentation, impact measurement, and continuous learning.
- Lead AI-driven KOL/Thought Leader mapping; build AI HCP segmentation/targeting using real-world data, claims, and behavioral signals.
- Enable scalable AI/ML pipelines for real-time intelligence into Field Medical workflows and CRM platforms.
- Identify medical care gaps; measure/improve engagement effectiveness and strengthen launch readiness.
- Build US/global analytics capabilities, establish best practices, coach teams, and drive change management.
Qualifications:
- Bachelor’s degree required; MBA/advanced degree strongly preferred.
- 12+ years in medical/commercial/marketing/insights within pharma/biotech/healthcare.
- Deep expertise in customer insights, omnichannel engagement, commercial analytics, and AI-driven solutions in US healthcare.
- Experience leading large cross-functional/matrix teams; leading complex strategic initiatives and AI change.
- Skills in predictive modeling, machine learning, agentic AI, data storytelling/visualization, cloud data platforms, NLP/conversational analytics.
- Ability to operationalize AI personalization/segmentation, manage change, and ensure medical data analytics compliance.
Benefits & application instructions:
- Not included.