Bristol Myers Squibb is seeking an Executive Director of CASA, Portfolio & Forecasting AI, responsible for leading AI-driven forecasting initiatives that enhance the company's portfolio planning and brand forecasting. The ideal candidate will have extensive experience in pharmaceutical forecasting, AI/ML product management, and stakeholder collaboration, with a strong emphasis on strategic leadership and data governance
Job Summary
This role is responsible for owning the end-to-end AI product roadmap for demand, inventory, and Gross-to-Net forecasting to transform portfolio planning.
The position requires partnering with Finance, Commercial Operations, and BI&T to modernize the forecasting tech stack while ensuring strict compliance and audit readiness.
Candidates will lead a high-performing cross-matrix team and manage vendor relationships to drive accuracy, transparency, and measurable business impact across global markets.
Matching Summary
Match Score: 85
Bristol Myers Squibb is seeking an Executive Director of CASA, Portfolio & Forecasting AI, responsible for leading AI-driven forecasting initiatives that enhance the company's portfolio planning and brand forecasting. The ideal candidate will have extensive experience in pharmaceutical forecasting, AI/ML product management, and stakeholder collaboration, with a strong emphasis on strategic leadership and data governance.
Salary
Base: $273,870 - $331,866; Bonus/Equity: Additional incentive cash and stock opportunities available; Benefits: Comprehensive health, wellbeing, financial protection, and paid time off programs included
Skills & Requirements
Must-have
AI product management experience
Demand and inventory forecasting
Gross-to-Net modeling expertise
MLOps and model lifecycle governance
Cross-functional stakeholder leadership
Nice-to-have
Generative AI application knowledge
Scenario planning and sensitivity analysis
Closed-loop learning implementation
Vendor ecosystem management
Executive data storytelling skills
Key Requirements
12+ years in pharmaceutical or healthcare industries
Bachelor's degree required; MS/PhD/MBA preferred
Deep understanding of GTN modeling and hybrid planning ecosystems
Proven track record deploying AI forecasting initiatives at scale
Proficiency in Python, R, SQL, and cloud ML platforms