Manager, Analytical AI Forecasting and Predictive Solutions

Overview

We are seeking a Manager, Analytical AI Forecasting and Predictive Solutions to develop, implement, and support advanced analytical, machine learning, and forecasting solutions across Forecasting applications with a primary focus on Commercial Demand. This role emphasizes hands‑on delivery, technical depth, and cross‑functional collaboration.

• Contribute to the Analytical AI Community by collaborating with data scientists, forecasting SMEs, and machine learning practitioners; demonstrate analytical rigor, curiosity, and continuous improvement.
• Develop, implement, maintain, and analyze AAI Forecasting solutions 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.
• Contribute to 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; contribute insights on accuracy, usability, and business impact.
• Help identify opportunities for incremental improvements across deployed models and analytics outputs.

• BA/BS required in a quantitative area of study; MBA or other graduate degree preferred.
• 2–3 years of hands‑on experience in advanced analytics and data science.
• Hands‑on experience with pharmaceutical forecasting is preferred.
• Proficient in Python/R, SQL, Tableau, and MS Office Suite; experience with Git and cloud‑based environments (AWS, Azure, etc.) is preferred.
• Excellent communication and presentation skills; proven ability to explain complex analyses and outcomes to both technical and non‑technical stakeholders.
• Proven experience operating large, complex projects with multi‑functional team members.

• Competitive salary range $95,970 – $116,287 (Princeton, NJ).
• Additional incentive cash and stock opportunities based on eligibility.
• Health coverage: medical, pharmacy, dental, vision.
• Well‑being support: BMS Well‑Being Account, BMS Living Life Better, Employee Assistance Programs.
• Financial well‑being: 401(k) plan, disability, life insurance, etc.
• Paid time off: flexible time, national holidays, summer hours flexibility, and an annual global shutdown.
• Work‑life benefits including unlimited paid sick time, volunteer days, and more.

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