AI-Driven Commercial Analytics Leader

Bristol Myers Squibb

Princeton (NJ)

On-site

USD 160,000 - 210,000

Full time

31 hours ago
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Job summary

Bristol Myers Squibb seeks a Sr. Manager for US Commercial AI & Advanced Analytics to lead AI/ML initiatives and modeling efforts across the US pharmaceutical portfolio. You will drive data governance, build scalable analytics apps, and partner with cross-functional teams to translate insights into commercial impact.

This role blends advanced analytics with business strategy, delivering measurable outcomes while shaping the next generation of agent-enabled analytics at scale.

Responsibilities

  • Lead Agentic AI Marketing Mix Modeling and establish ARD data layer.
  • Evaluate Bayesian methods within Marketing Mix for stability and accuracy.
  • Build and maintain RAG pipelines with KPI knowledge bases and Azure OpenAI.
  • Implement model validation, back-testing, and calibration checks.
  • Architect and orchestrate autonomous analytics agents within the platform.
  • Collaborate with engineering to validate data schemas on Databricks and governance.
  • Develop ETL pipelines and production-grade analytics apps (Streamlit, Dash).
  • Explain modeling assumptions clearly to stakeholders, in business terms.
  • Partner with BI&T, Data Science, TA Analytics, and Eng to standardize analytics datasets.

Skills

AI/ML development
Marketing Mix Modeling
Bayesian modeling
RAG pipelines
Databricks
Python
React.js
Streamlit

Tools

Databricks
Streamlit
Dash
React.js
Python
Azure OpenAI

Job description

Bristol Myers Squibb seeks a Sr. Manager for US Commercial AI & Advanced Analytics to lead AI/ML initiatives and modeling efforts across the US pharmaceutical portfolio. You will drive data governance, build scalable analytics apps, and partner with cross-functional teams to translate insights into commercial impact.

This role blends advanced analytics with business strategy, delivering measurable outcomes while shaping the next generation of agent-enabled analytics at scale.

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