Manager, Analytical AI Forecasting and Predictive Solutions

Bristol Myers Squibb

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Princeton, NJ
Salary
$95,970–$116,287 / yr
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live today
Closes
Nov 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k
This role $106k
$79k $256k
below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $160,400–$239,281 — the blue band above. At the midpoint, this role pays about $106k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Bristol Myers Squibb

Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.

Bristol Myers Squibb currently has 38 open roles on FindRole.

Listed pay typically runs $137,530–$166,654 across 31 roles with salary data.

Most-posted roles

View all roles at Bristol Myers Squibb

At a glance

TL;DR · Manager, Analytical AI Forecasting and Predictive Solutions

The Manager, Analytical AI Forecasting and Predictive Solutions joins a collaborative team of data scientists and machine learning practitioners to develop, implement, and support advanced analytical and forecasting solutions. This role focuses on Commercial Demand, where the individual will translate business requirements into high-quality analytical solutions to improve planning and decision-making. Day-to-day responsibilities include developing and maintaining forecasting models using statistical, machine learning, and AI techniques, performing analyses on large datasets to identify trends, and monitoring model performance. The position requires proficiency in Python, R, SQL, Tableau, and MS Office Suite, with preferred experience in Git, cloud-based environments like AWS or Azure, and commercial forecasting. The work involves solving complex business problems by providing clear insights to technical and non-technical stakeholders across Finance and Market Access teams.

What you'll do

  • Develop and maintain forecasting models using statistical, machine learning, and AI techniques.
  • Analyze large datasets to identify trends, patterns, and drivers that inform forecasting outputs.
  • Translate business requirements from Finance, Commercial, and Market Access teams into analytical solutions.
  • Monitor model performance and implement continuous improvements to enhance forecast accuracy and reliability.
  • Communicate forecasting results, assumptions, and insights to both technical and non-technical stakeholders.
  • Maintain comprehensive documentation for models, processes, and analytical workflows.
  • Support the scaling of standardized tools, templates, and processes across various forecasting use cases.
  • Conduct experimentation efforts to validate model assumptions and enhance overall forecasting performance.

What we're looking for

  • Quantitative area of study preferred.
  • MBA or other graduate degree preferred.
  • 2-3 years of hands-on experience in advanced analytics and data science.
  • Proficiency in Python/R, SQL, Tableau, and MS Office Suite.
  • Experience with Git, cloud-based environments (AWS, Azure, etc.), and/or commercial forecasting (preferred).
  • Experience with pharmaceutical forecasting (preferred).
  • Proven experience in operating large, complex projects with multi-functional team members.

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