Manager, Analytical AI Forecasting and Predictive Solutions

Bristol Myers Squibb•Princeton, NJ

4d•$95,970 - $116,287•Onsite

About The Position

This role develops, implements, and supports advanced analytical, machine learning, and forecasting solutions across Forecasting applications, with a primary focus on Commercial Demand. The Manager partners closely with senior team members and cross‑functional stakeholders to execute against defined forecasting strategies, translating business requirements into high‑quality analytical solutions that improve planning, insight generation, and decision‑making. This role emphasizes hands‑on delivery, technical depth, and cross‑functional collaboration.

Requirements

BA/BS required (quantitative area of study preferred).
Proficiency in Python/R, SQL, Tableau, and MS Office Suite.
Excellent communication and presentation skills, with a proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.
2-3 years of hands-on experience in advanced analytics and data science.
Proven experience in operating large, complex projects with multi-functional team members.

Nice To Haves

MBA or other graduate degree preferred.
Experience with Git and cloud-based environments (AWS, Azure, etc.)
Experience in commercial forecasting is preferred.
Hands-on experience with pharmaceutical forecasting is preferred.

Responsibilities

Contribute as part of a collaborative team of data scientists, forecasting SMEs, and machine learning practitioners.
Support the adoption of advanced forecasting approaches by demonstrating analytical rigor, curiosity, and continuous improvement.
Actively contribute ideas and insights that improve forecasting processes, tools, and methodologies.
Develop and maintain forecasting models using statistical, machine learning, and AI techniques under established frameworks and standards.
Perform analyses on large datasets to identify trends, patterns, and drivers that inform forecasting outputs.
Partner with Finance, Commercial, Market Access, and Analytics teams to translate business questions into analytical and forecasting solutions.
Monitor model performance and support continuous improvements in forecast accuracy and reliability.
Clearly communicate forecasting results, assumptions, and insights to both technical and non‑technical stakeholders.
Support experimentation efforts to validate model assumptions and enhance forecasting performance.
Maintain documentation for models, processes, and analytical workflows.
Apply established best practices in forecasting, data science, and machine learning.
Stay informed on evolving analytical and forecasting techniques and support the adoption of relevant advancements within defined use cases.
Contribute to the scaling of standardized tools, templates, and processes across forecasting use cases.
Collaborate effectively with analytics peers and business stakeholders to support forecasting deliverables.
Participate in the preparation, presentation, and discussion of forecasting outputs with cross‑functional partners.
Support change adoption by explaining analytical approaches and building trust in models and results.
Support performance evaluation of forecasting solutions by contributing insights on accuracy, usability, and business impact.
Help identify opportunities for incremental improvements across deployed models and analytics outputs.

Benefits

wellbeing support
retirement and financial protection benefits
insurance offerings (medical, dental, vision, life and disability)
Flexible Time Off (FTO)
11 paid company holidays
160 hours of paid vacation annually
3 optional holidays
paid sick leave
up to two paid volunteer days per year
summer hours flexibility
leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs
annual Global Shutdown between Christmas Day and New Year's Day