Vice President, Data, Analytics, AI, & Technology - Princeton NJ

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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 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 - infrastructure, 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.