Vice President, Data, Analytics, AI & Technology

Position Summary

Reporting directly to the President of RayzeBio, the Vice President, Data, Analytics, AI & Technology is a critical leadership role responsible for driving data‑driven decision‑making, digital transformation, and scalable technology enablement across the organization. This leader owns the enterprise data and analytics strategy, AI/ML capabilities, and core technology platforms that support RayzeBio end‑to‑end from research through drug development, manufacturing, and commercialization.

As a wholly owned subsidiary, this role requires strong partnership with BMS functions (e.g., IT, Business Insights & Analytics, data platforms) while tailoring solutions for RayzeBio's pace, culture, and operating model. The ideal candidate brings an entrepreneurial mindset, a bias for action, and the ability to challenge the organization to think bigger—pushing leaders and teams beyond their comfort zones on what is possible with data, automation, and AI.

Key Responsibilities

• Develop and execute an enterprise digital strategy aligned to RayzeBio's business objectives, driving operational efficiency, smarter decisions, and cross‑functional collaboration.
• Lead digital transformation initiatives that modernize data and reporting, streamline workflows, and accelerate execution through automation and AI/ML where it creates tangible business value.
• Identify and prioritize high‑impact opportunities to simplify the operating environment—reducing tool sprawl, minimizing friction, and improving speed without sacrificing quality or compliance.
• Own the enterprise analytics and AI/ML roadmap, prioritizing practical use cases across research, development, manufacturing, and commercial readiness.
• Oversee advanced analytics capabilities—including predictive modeling, forecasting, and machine learning—to support data‑driven decision‑making across functions.
• Establish fit‑for‑purpose data governance, ensuring data quality, integrity, security, and cross‑functional accessibility.
• Bring an external perspective on emerging technologies and translate them into pragmatic, adoption‑ready tools and approaches that RayzeBio teams can and will use.
• Partner closely with Research and Drug Development leadership to leverage data, analytics, and AI across the drug development lifecycle—from discovery and translational science through clinical development and CMC.
• Improve how data is captured, integrated, and used across preclinical, clinical, and manufacturing interfaces to increase insight quality, reproducibility, and execution readiness.
• Enable practical analytics and AI use cases that support development execution—including trial planning, study performance visibility, and decision support—while remaining compliant and fit for purpose.
• Lead data and analytics capabilities supporting commercial readiness and launch execution, including forecasting, scenario modeling, and performance analytics aligned to demand, supply, and revenue planning.
• Enable commercial teams with the tools, infrastructure, and insights needed to support go‑to‑market execution, customer engagement, and post‑launch optimization.
• Partner closely with Commercial, Medical Affairs, Manufacturing, and Supply Chain to ensure analytic and technology readiness for launch and scaled commercialization.
• Own RayzeBio's technology ecosystem—infra, applications, collaboration tools, and data platforms—ensuring scalability, security, and compliance.
• Ensure technology decisions are practical and user‑centered—prioritizing adoption and real‑world utility over technical sophistication for its own sake.
• Partner with BMS IT, analytics, and data organizations to leverage enterprise platforms while ensuring solutions remain tailored to RayzeBio's scale and operating model.
• Attract, develop, and retain top talent across data science, analytics, AI/ML, and technology; build a culture of innovation, ownership, and measurable impact.
• Lead effectively across a distributed, multi‑site organization—driving clear priorities, transparent communication, and strong execution rhythms.
• Serve as a member of the RayzeBio leadership team; challenge assumptions, elevate thinking, and drive adoption of data‑driven and AI‑enabled ways of working across the organization.

Qualifications and Experience

• Bachelor's degree required; advanced degree (MS, PhD, MBA) preferred depending on background and domain depth.
• 15+ years of progressive leadership experience across data/analytics, digital, AI/ML, and technology in biotech, pharma, life sciences, or similarly complex regulated environments.
• Senior leadership experience owning enterprise platforms, analytics strategy, and cross‑functional delivery across multiple sites.
• Strong understanding of the biotech/pharma value chain (research, drug development, manufacturing, commercialization); heavier research exposure preferred.
• Track record of delivering measurable business impact through analytics, digital enablement, and/or AI—beyond experimentation.
• Demonstrated ability to operate effectively within a larger enterprise ecosystem while tailoring solutions for a smaller, high‑speed subsidiary environment.

Compensation Overview

$307,190 – $372,242. The starting compensation range(s) for this role are listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job‑related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Benefits

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Well‑being Support: Programs such as BMS Well‑Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well‑being and Protection: 401(k) plan, short‑ and long‑term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

Work‑Life Benefits

Paid Time Off and flexible time‑off policies vary by employee status and location. Eligibility varies. Detailed policies are available on the careers site.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Supporting People With Disabilities

• BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to View email address on click.appcast.io. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Data Protection

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

Job Reference

R1602812 : Vice President, Data, Analytics, AI & Technology