Associate Director, Associate Director, Forecasting, Us & Ww Pipeline Immunology

Bristol Myers Squibb

Princeton, NJ, US
Base: $167,540 - $203,013; bonus/equity: + incenti...
50% onsite
Pharmaceutical forecasting
Commercial analytics
Ai-first forecasting tools
The Associate Director, Forecasting, US & WW Pipeline Immunology plays a critical role within Worldwide Commercial Excellence by independently developing, maintaining, and delivering forecasts for one or more therapeutic areas

Job Summary

  • The Associate Director, Forecasting, US & WW Pipeline Immunology plays a critical role within Worldwide Commercial Excellence by independently developing, maintaining, and delivering forecasts for one or more therapeutic areas.
  • This role is responsible for generating high‑quality, objective forecasts that inform brand strategy, enterprise planning cycles, and cross‑functional decision‑making.
  • The position is ideal for an analytically strong, intellectually curious forecasting professional who thrives in a fast‑paced environment and is excited to apply AI‑enabled forecasting methodologies.

Matching Summary

The Associate Director, Forecasting, US & WW Pipeline Immunology plays a critical role within Worldwide Commercial Excellence by independently developing, maintaining, and delivering forecasts for one or more therapeutic areas.

Salary

Base: $167,540 - $203,013; Bonus/Equity: Additional incentive cash and stock opportunities may be available; Benefits: Health Coverage, Wellbeing Support, Financial Well-being and Protection, Work-life benefits

Skills & Requirements

Must-have

  • pharmaceutical forecasting
  • commercial analytics
  • AI-first forecasting tools
  • scenario modeling
  • market research integration
  • cross-functional alignment

Nice-to-have

  • intellectually curious
  • fast-paced environment
  • structured problem-solving
  • enterprise-minded approach
  • continuous improvement

Key Requirements

  • 5+ years of experience
  • Bachelor’s degree required
  • Proficiency in forecasting methodologies
  • Experience with pharmaceutical secondary data
  • Experience with AI-enabled forecast models
  • Ability to operate in a dynamic environment

Work Rights

Not specified

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