Manager, Analytical AI Forecasting and Predictive Solutions

About the role

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Description: 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 , Key Responsibilities and Major Duties: Contribution to Analytical AI Community: 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. Development, implementation, maintenance, and analysis of AAI Forecasting Solutions: 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. Execution and Best Practices Support:  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. Cross-Functional Collaboration: 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. Performance Monitoring and Impact: 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. Qualifications/Degree/Certification/Licensure: Educational Background: BA/BS required (quantitative area of study preferred). MBA or other graduate degree preferred. Technical Proficiency: Proficiency in Python/R, SQL, Tableau, and MS Office Suite. Experience with Git and cloud-based environments (AWS, Azure, etc.) and/or experience in commercial forecasting is preferred. Communication Skills: Excellent communication and presentation skills, with a proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders. Experience: 2-3 years of hands-on experience in advanced analytics and data science. Hands-on experience with pharmaceutical forecasting is preferred. Cross-Functional Collaboration: Proven experience in operating large, complex projects with multi-functional team members. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Compensation Overview: Princeton - NJ - US: $95,970 - $116,287 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incen