Manager Non-us Commercialization Decision Intelligence & Kda Solutions

Bristol Myers Squibb

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7+ years pharmaceutical commercial analytics experience
Proven track record building mmx models in non us market
Hands-on experience operationalizing llms for commercial use cases
** Bristol Myers Squibb is seeking a Manager for Non-US Commercialization Decision Intelligence and KDA Solutions, responsible for overseeing AI-enabled analytical solutions to support commercial strategies. The role demands strong leadership and analytical skills, with a focus on collaboration and innovation in the pharmaceutical industry. **

Job Summary

  • This role involves overseeing a team to deliver AI-enabled analytical solutions that support Ex-US Commercialization across brand strategy and resource allocation.
  • The position requires partnering with global stakeholders to frame decisions, interpret insights, and design impactful deliverables for omnichannel engagement.
  • Bristol Myers Squibb offers competitive benefits and a flexible work environment designed to help employees pursue goals both at work and in their personal lives.

Matching Summary

Match Score: 75

** Bristol Myers Squibb is seeking a Manager for Non-US Commercialization Decision Intelligence and KDA Solutions, responsible for overseeing AI-enabled analytical solutions to support commercial strategies. The role demands strong leadership and analytical skills, with a focus on collaboration and innovation in the pharmaceutical industry. **

Skills & Requirements

Must-have

  • 7+ years pharmaceutical commercial analytics experience
  • Proven track record building MMx models in Non US market
  • Hands-on experience operationalizing LLMs for commercial use cases
  • Deep understanding of advanced analytics and AI/ML methodologies
  • Experience with cloud analytics platforms like Databricks or Snowflake

Nice-to-have

  • Exposure to Non-US markets including Europe Asia Latin America
  • Familiarity with CRM systems like Veeva
  • Strong foundation in AI governance risk management and privacy
  • Experience embedding AI analytics platforms into commercial workflows
  • Knowledge of multi-touch attribution frameworks

Key Requirements

  • BA/BS required; advanced degree preferred in life sciences or data science
  • 7+ years in pharmaceutical commercial analytics with focus on MMx projects
  • Proven experience operationalizing LLMs for commercial use cases
  • Mastery of programming tools Python R and machine learning frameworks
  • Extensive knowledge of pharmaceutical data including claims and digital signals

Work Rights

Not specified

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