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RayzeBio, a Bristol Myers Squibb company, is a dynamic biotechnology company headquartered in San Diego, CA. The company is focused on improving survival of people with cancer by harnessing the power of targeted radioisotopes. RayzeBio is developing innovative drugs against targets of solid tumors. Led by a successful and experienced entrepreneurial team, RayzeBio aims to be the global leader in radiopharmaceuticals .
RayzeBio is seeking a highly independent and hands-on Director, Applied Generative AI to lead the company’s adoption and implementation of next-generation artificial intelligence capabilities. This role requires a self-starter who thrives with minimal oversight, proactively identifies priorities, and drives the strategy and execution for AI initiatives that deliver rapid, measurable impact. The Director, Applied Generative AI will serve as the primary leader for RayzeBio’s AI efforts, managing suppliers and engaging with stakeholders across RayzeBio and BMS, and collaborating closely RayzeBio Digital, IT and analytics staff as well as BMS BI&T.
You will be expected to build and nurture internal and external relationships, orchestrate collaboration across multiple functional and supplier teams, and ensure appropriate alignment with BMS’s broader enterprise strategy. This is a highly influential position, where success depends on the ability to engage, persuade, and align cross-functional stakeholders and external partners-even without direct authority. The ideal candidate has a proven ability to independently drive transformative technology projects from concept to adoption in a dynamic, matrixed environment.
This role emphasizes hands-on technical depth and influence over people management.

Key Responsibilities

• Provide strategic and technical leadership for the identification, development, and deployment of AI, LLM, and agentic automation solutions across RayzeBio, ensuring alignment with organizational objectives and enterprise initiatives as well as harmony with BMS enterprise platforms and governance (e.g., model/platform reuse, safety & privacy reviews, data access controls, usage/cost monitoring).
• Operate with a high degree of independence and accountability-setting priorities, making critical decisions, and delivering outcomes with minimal supervision.
• Lead cross-functional coordination by collaborating with all teams at RayzeBio, as well as with stakeholders at BMS (primarily BI&T), to identify high-value opportunities and deliver scalable solutions.
• Build, maintain, and expand strong working relationships with internal and external stakeholders-including enterprise partners and supplier/vendor teams-to facilitate open collaboration, knowledge sharing, and technology alignment.
• Guide and, as needed, oversee external suppliers (data engineers, solution developers, consultants), providing clear direction and technical guidance to secure high quality, on-time project delivery.
• Drive the adoption and enablement of BMS-approved AI tools (e.g., ChatGPT Enterprise, Microsoft Copilot) across RayzeBio, serving as the primary advocate and trusted advisor on best practices, compliance, and maximization of value.
• Develop and deliver onboarding, training, and enablement content, supporting technical and non-technical users in leveraging generative AI tools safely and effectively, and fostering an AI-first mindset organization-wide with measurable adoption goals (e.g., enablement OKRs, usage and completion metrics).
• Ensure that all AI and analytics initiatives are synergistic and complementary to existing BMS enterprise programs, proactively avoiding duplication of effort and elevating RayzeBio’s unique contributions by documenting reuse patterns and executing de-duplication across teams.
• Act as a key influencer and change agent within RayzeBio, communicating the vision, strategy, and value of AI solutions in a compelling, actionable way to diverse audiences.
• Continuously monitor emerging AI technologies and best practices, recommending new approaches to drive continuous improvement and proposing a pragmatic roadmap for scaling the AI function.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; advanced degree preferred.
• 10+ years of progressive experience delivering advanced AI/ML solutions, including demonstrated hands-on development, solution deployment, and cross-functional project leadership.
• Demonstrable experience leading the enterprise adoption and integration of generative AI or large-scale automation tools-preferably in life sciences, biotech, or healthcare.
• Proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow, HuggingFace), as well as LLM and agentic AI solutions (prompt engineering, RAG, LangChain, or similar) plus modern GenAI/MLOps tooling (e.g., AWS or GCP, MLflow, feature stores, vector databases, model evaluation/monitoring).
• Significant experience collaborating with cross-functional teams and influencing across levels, including senior/executive stakeholders, in a matrixed organization.
• Proven track record of successful supplier/vendor management for technical projects.
• Experience designing and delivering effective technical training and change management for end users (including role-based enablement for technical and non-technical audiences).
• Exceptional interpersonal communication, relationship-building, and collaboration skills.
• Demonstrated ability to operate with autonomy, prioritize initiatives, and lead through ambiguity in a fast-paced, agile biotech environment.

Preferred Experience

• Direct experience building and scaling AI functions, and working side-by-side with enterprise service groups (e.g., with BMS BI&T or equivalent enterprise partners).
• Experience with cloud computing, data engineering, and MLOps best practices (AWS or GCP experience preferred).
• Familiarity with GxP, data privacy, and security standards relevant to biotechnology and healthcare.
• Pharmaceutical experience, especially on the CMC, early development, and clinical

• Provide strategic and technical leadership for the identification, development, and deployment of AI, LLM, and agentic automation solutions across RayzeBio, ensuring alignment with organizational objectives and enterprise initiatives as well as harmony with BMS enterprise platforms and governance (e.g., model/platform reuse, safety & privacy reviews, data access controls, usage/cost monitoring).
• Operate with a high degree of independence and accountability-setting priorities, making critical decisions, and delivering outcomes with minimal supervision.
• Lead cross-functional coordination by collaborating with all teams at RayzeBio, as well as with stakeholders at BMS (primarily BI&T), to identify high-value opportunities and deliver scalable solutions.
• Build, maintain, and expand strong working relationships with internal and external stakeholders-including enterprise partners and supplier/vendor teams-to facilitate open collaboration, knowledge sharing, and technology alignment.
• Guide and, as needed, oversee external suppliers (data engineers, solution developers, consultants), providing clear direction and technical guidance to secure high quality, on-time project delivery.
• Drive the adoption and enablement of BMS-approved AI tools (e.g., ChatGPT Enterprise, Microsoft Copilot) across RayzeBio, serving as the primary advocate and trusted advisor on best practices, compliance, and maximization of value.
• Develop and deliver onboarding, training, and enablement content, supporting technical and non-technical users in leveraging generative AI tools safely and effectively, and fostering an AI-first mindset organization-wide with measurable adoption goals (e.g., enablement OKRs, usage and completion metrics).
• Ensure that all AI and analytics initiatives are synergistic and complementary to existing BMS enterprise programs, proactively avoiding duplication of effort and elevating RayzeBio’s unique contributions by documenting reuse patterns and executing de-duplication across teams.
• Act as a key influencer and change agent within RayzeBio, communicating the vision, strategy, and value of AI solutions in a compelling, actionable way to diverse audiences.
• Continuously monitor emerging AI technologies and best practices, recommending new approaches to drive continuous improvement and proposing a pragmatic roadmap for scaling the AI function