Practice Lead, Us Commercialization Decision Intelligence & Kda Solutions

Bristol Myers Squibb UK

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Bayesian/hierarchical marketing mix modeling expertise
Agentic ai solution architecture and deployment
Causal inference and incrementality tool proficiency
** Bristol Myers Squibb is seeking a Practice Lead for their US Commercialization Decision Intelligence & KDA Solutions team. The ideal candidate will have extensive experience in pharmaceutical analytics, particularly in marketing mix modeling and AI-driven solutions, and will play a crucial role in technical leadership and team development. **

Job Summary

  • This role offers the opportunity to provide direct technical leadership on complex Marketing Mix Modeling builds while architecting scalable Agentic AI systems for autonomous insights.
  • The position requires a proven track record of personally building MMx models in the US market and operationalizing LLMs for commercial applications like knowledge retrieval and generative analytics.
  • Bristol Myers Squibb provides a supportive culture with competitive benefits and flexibility, empowering employees to transform patients' lives through science-driven work.

Matching Summary

Match Score: 75

** Bristol Myers Squibb is seeking a Practice Lead for their US Commercialization Decision Intelligence & KDA Solutions team. The ideal candidate will have extensive experience in pharmaceutical analytics, particularly in marketing mix modeling and AI-driven solutions, and will play a crucial role in technical leadership and team development. **

Skills & Requirements

Must-have

  • Bayesian/hierarchical Marketing Mix Modeling expertise
  • Agentic AI solution architecture and deployment
  • Causal inference and incrementality tool proficiency
  • LLM operationalization for commercial use cases
  • Cloud analytics platforms Databricks Snowflake Spark
  • 12+ years pharmaceutical commercial analytics experience

Nice-to-have

  • Strong stakeholder engagement and communication skills
  • Experience with Veeva CRM and omnichannel metrics
  • Background in life/physical sciences or engineering
  • Ability to translate complex analytics into strategy
  • Knowledge of HIPAA GDPR CCPA regulatory standards

Key Requirements

  • BA/BS degree required; advanced degree preferred
  • 12+ years in pharmaceutical commercial analytics
  • Proven experience launching scaling agentic AI solutions
  • Deep proficiency in Python R machine learning frameworks
  • Extensive knowledge of pharmaceutical data sources

Work Rights

Not specified

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