Manager, Analytical AI Forecasting and Predictive Solutions

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.
• 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.

Additional information

We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway.

Compensation Overview

Princeton - NJ - US: $95,970 - $116,287

The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully - carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans - including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

• U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.
• Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

How We Work

• Where you work matters - because collaboration, innovation and patient impact happen in many settings.
• Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design.
• The model assigned to this role is based on its core responsibilities.

Data Protection

• We will never request payments, financial information, or social security numbers during our application or recruitment process.
• Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

• If this posting is missing required information required by local law or incorrect, contact BMS at with the Job Title and Requisition number.
• Do not send application-related inquiries to this email.
• To check your application status, please login to your Candidate Home Account.

R1605344: Manager, Analytical AI Forecasting and Predictive Solutions