Senior Director, Field Medical Analytics
Bristol Myers Squibb
June 30, 2026
Remote friendly (Princeton, NJ)
United States
Operations
Summary:
Lead global strategy, development, and execution of advanced analytics for Bristol Myers Squibb Field Medical to deliver data-driven insights and optimize decision-making across therapeutic areas, including AI-driven solutions, governance, and compliance.
Responsibilities:
- Advise US and international field medical executives; lead BU-aligned field medical analytics teams.
- Collaborate with Commercial, Market Access, Field Excellence, Medical, and IT to align strategies and investments.
- Translate business needs into roadmaps for analytics capability development, integration, and AI innovation.
- Oversee actionable insights for field strategy, customer segmentation, impact measurement, and continuous learning.
- Drive adoption of digital tools/data platforms/customer journey design; demonstrate AI/analytics impact.
- Develop AI-driven KOL/Thought Leader mapping; build HCP segmentation/targeting models using real-world, claims, and behavioral data.
- Enable scalable AI/ML pipelines with IT/data engineering for real-time intelligence into field workflows/CRM.
- Lead identification and measurement of Medical Care Gaps; improve engagement effectiveness and launch readiness.
- Build global field medical analytics capabilities; establish frameworks/best practices; coach teams; lead change management.
Qualifications:
- Bachelor’s degree required; MBA or advanced degree strongly preferred.
- 12+ years in medical, commercial, marketing, or insights roles (pharma/biotech/healthcare).
- Proven influence with senior leaders; deep expertise in customer insights, omnichannel engagement, commercial analytics, and AI solutions.
- Leadership of cross-functional/matrixed teams; strong change leadership; critical thinking/problem-solving.
- Expertise in predictive modeling, machine learning, and Agentic AI for medical decision-making.
- Data storytelling/visualization; cloud analytics platforms; NLP/conversational analytics.
- Understanding of compliance and global regulatory requirements for medical data analytics.
Benefits (if explicitly stated): Health/Wellbeing/401(k) and work-life benefits (Paid Time Off).
Application:
If you’re intrigued but not a perfect match, encourage to apply anyway.
Lead global strategy, development, and execution of advanced analytics for Bristol Myers Squibb Field Medical to deliver data-driven insights and optimize decision-making across therapeutic areas, including AI-driven solutions, governance, and compliance.
Responsibilities:
- Advise US and international field medical executives; lead BU-aligned field medical analytics teams.
- Collaborate with Commercial, Market Access, Field Excellence, Medical, and IT to align strategies and investments.
- Translate business needs into roadmaps for analytics capability development, integration, and AI innovation.
- Oversee actionable insights for field strategy, customer segmentation, impact measurement, and continuous learning.
- Drive adoption of digital tools/data platforms/customer journey design; demonstrate AI/analytics impact.
- Develop AI-driven KOL/Thought Leader mapping; build HCP segmentation/targeting models using real-world, claims, and behavioral data.
- Enable scalable AI/ML pipelines with IT/data engineering for real-time intelligence into field workflows/CRM.
- Lead identification and measurement of Medical Care Gaps; improve engagement effectiveness and launch readiness.
- Build global field medical analytics capabilities; establish frameworks/best practices; coach teams; lead change management.
Qualifications:
- Bachelor’s degree required; MBA or advanced degree strongly preferred.
- 12+ years in medical, commercial, marketing, or insights roles (pharma/biotech/healthcare).
- Proven influence with senior leaders; deep expertise in customer insights, omnichannel engagement, commercial analytics, and AI solutions.
- Leadership of cross-functional/matrixed teams; strong change leadership; critical thinking/problem-solving.
- Expertise in predictive modeling, machine learning, and Agentic AI for medical decision-making.
- Data storytelling/visualization; cloud analytics platforms; NLP/conversational analytics.
- Understanding of compliance and global regulatory requirements for medical data analytics.
Benefits (if explicitly stated): Health/Wellbeing/401(k) and work-life benefits (Paid Time Off).
Application:
If you’re intrigued but not a perfect match, encourage to apply anyway.