Manager, Analytical AI Forecasting and Predictive Solutions

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits.

This is work that transforms the lives of patients, and the careers of those who do it.

Summary:

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.

• Commun…