Vice President, Data, Analytics, AI & Technology

Bristol Myers Squibb; San Diego (CA); On-site; USD 300,000 - 450,000; Full time

Job summary

RayzeBio, a dynamic biotechnology company and a wholly owned subsidiary of Bristol Myers Squibb, seeks a transformative leader for Data, Analytics, AI & Technology. Reporting to executive leadership, you will drive data-driven decisions and scalable technology across research through commercialization.

You will partner with IT, Business Insights & Analytics, and data platforms to deliver RayzeBio’s pace, culture, and operating model, championing an entrepreneurial mindset and bold, data-enabled

Responsibilities

• Develop and execute an enterprise digital strategy aligned to RayzeBio's business objectives.
• Lead digital transformation initiatives to modernize data and reporting and enable automation and AI.
• Identify and prioritize opportunities to simplify the operating environment and improve speed without compromising quality or compliance.
• Own the analytics and AI/ML roadmap across research, development, manufacturing and commercial readiness.
• Oversee advanced analytics including predictive modeling, forecasting, and machine learning to support data-driven decisions.

Job description

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.

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.

RayzeBio is a dynamic biotechnology company headquartered in San Diego, CA. Launched in late 2020 and acquired by Bristol Myers Squibb (BMS) in 2024 as a wholly owned subsidiary, the company is focused on improving survival of people with cancer by harnessing the power of targeted radioisotopes. RayzeBio operates as a standalone entity within the BMS organization, maintaining its biotech culture with the opportunity to leverage the best-in-class oncology capabilities of BMS. RayzeBio is developing innovative drugs against targets of solid tumors. The lead asset, RYZ101, is in Phase 3 testing for patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs). In addition, Rayzebio has the leading radiopharmaceuticals pipeline with novel assets targeting HCC, RCC and Prostate cancer amongst others. Led by a successful and experienced entrepreneurial team, RayzeBio aims to be the global leader in radiopharmaceuticals.

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’s 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