Bristol-Myers Squibb
Director, Enterprise Data Architecture & AI Solutions
Bristol-Myers Squibb, San Diego, California, United States, 92189
Director, Enterprise Data Architecture & Ai Solutions
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. RayzeBio is seeking a Director, Enterprise Data Architecture & AI Solutions to architect, integrate, and scale data and AI capabilities supporting our mission to advance next-generation radiopharmaceuticals. This highly visible leadership role spans cross-functional teamsincluding Commercial, Medical Affairs, Clinical Operations, Early Development, and Manufacturingwith a sharp focus on harmonizing enterprise data architecture and accelerating the application of AI/ML for real-world impact. The ideal candidate combines technical acumen with systems integration expertise and stakeholder savvy, enabling both near-term wins and strategic transformation across RayzeBio's rapidly growing organization. The candidate will collaborate with BMS and the BI&T team to ensure all initiatives are not duplicative and are leveraging BMS "know how" and capabilities as appropriate. The selected candidate will be required to travel regularly to all three sites (San Diego, Indianapolis, and Princeton) collaborating with teams across RayzeBio and BMS, spending 30% of the time at one of these three sites. Key Responsibilities
Design, build, and continuously improve RayzeBio's data lakehouse architecture to unlock analytics, reporting, and AI for enterprise users. Develop enterprise data models and semantic layers tailored for radiopharmaceutical workflows, enabling scalable self-service analytics and operational insights. Define integration strategy across enterprise applications (clinical, ERP, CRM, manufacturing, compliance) balancing traceability, integrity, and regulatory requirements. Identify and evaluate high-value opportunities for AI/ML in early development, clinical operations, supply chain, commercial analytics, and scientific knowledge management. Lead solution design for practical AI/ML pilotscoordinating in-house or external partners, ensuring alignment with RayzeBio's digital and enterprise standards. Establish data readiness protocols for machine learning (annotation, pipeline integration, model monitoring/feedback, and secure deployment). Own enterprise systems integration, dataflow design, and harmonization as RayzeBio transitions from pre-commercial to commercial-stage operations. Implement master data management solutions supporting unified product, customer, clinical trial, and manufacturing data domains. Lead metadata management, master data governance, and stewardship processesensuring alignment with GxP, privacy, and commercial compliance requirements. Set and monitor high standards for data quality, system validation, and audit-readiness in collaboration with business and technical stakeholders. Serve as strategic advisor on data, analytics, and AI readinesssupporting business, R&D, and executive teams with actionable architectural guidance. Influence and align cross-functional partners toward shared goals and enterprise data priorities; champion 'digital-first' and Gen AI-enabled innovations. Establish and maintain strong relationships with BMS stakeholders Recruit, onboard, and mentor a small, high-impact team as RayzeBio scales. Required Qualifications
BS Degree Minimum 10+ years in data architecture, analytics platform design, or commercial data operationsideally within biotech, pharma, or healthcare. Proven record designing and scaling cloud-native data platforms/data models in multifaceted settings (including early-stage or growth-phase companies). Experience driving requirements definition, collaborating with engineering, and integrating complex, heterogeneous data systems. Deep understanding of oncology or radiopharmaceutical data (commercial, clinical, medical, or R&D). Demonstrated ability to operate independently and prioritize in a lean, entrepreneurial environment. Strategic and systems-oriented, with a passion for building scalable solutions and driving cross-enterprise alignment. Energetic self-starter-comfortable managing uncertainty, setting priorities, and influencing senior stakeholders. Highly collaborative; able to synthesize diverse viewpoints and translate ambiguous needs into concrete data/AI roadmaps. Pragmatic communicatoradept at concise documentation, presenting actionable concepts, and driving stakeholder engagement. Preferred Experience
Experience in oncology-driven biotech or pharma, especially pre-commercial/early commercial stage. Working familiarity with life sciences regulatory frameworks (GxP, privacy, retention, commercial). Direct exposure to ML/AI in healthcare (predictive analytics, NLP, Gen AI, or decision support). Hands-on prototyping experience (Databricks, cloud notebooks, automation tools, etc.). Led or contributed to AI/ML/data platform initiatives within cross-functional/product teams. This is a rare opportunity to lead the AI transformation of a high-growth biotech, directly impacting our programs and patients, and shaping the future of data-driven medicinesupported by the vision and resources of Bristol Myers Squibb. Selective hybrid flexibility may be considered as noted above. RayzeBio and Bristol Myers Squibb are equal opportunity employers. All employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, or disability status. #RayzeBio If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
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. RayzeBio is seeking a Director, Enterprise Data Architecture & AI Solutions to architect, integrate, and scale data and AI capabilities supporting our mission to advance next-generation radiopharmaceuticals. This highly visible leadership role spans cross-functional teamsincluding Commercial, Medical Affairs, Clinical Operations, Early Development, and Manufacturingwith a sharp focus on harmonizing enterprise data architecture and accelerating the application of AI/ML for real-world impact. The ideal candidate combines technical acumen with systems integration expertise and stakeholder savvy, enabling both near-term wins and strategic transformation across RayzeBio's rapidly growing organization. The candidate will collaborate with BMS and the BI&T team to ensure all initiatives are not duplicative and are leveraging BMS "know how" and capabilities as appropriate. The selected candidate will be required to travel regularly to all three sites (San Diego, Indianapolis, and Princeton) collaborating with teams across RayzeBio and BMS, spending 30% of the time at one of these three sites. Key Responsibilities
Design, build, and continuously improve RayzeBio's data lakehouse architecture to unlock analytics, reporting, and AI for enterprise users. Develop enterprise data models and semantic layers tailored for radiopharmaceutical workflows, enabling scalable self-service analytics and operational insights. Define integration strategy across enterprise applications (clinical, ERP, CRM, manufacturing, compliance) balancing traceability, integrity, and regulatory requirements. Identify and evaluate high-value opportunities for AI/ML in early development, clinical operations, supply chain, commercial analytics, and scientific knowledge management. Lead solution design for practical AI/ML pilotscoordinating in-house or external partners, ensuring alignment with RayzeBio's digital and enterprise standards. Establish data readiness protocols for machine learning (annotation, pipeline integration, model monitoring/feedback, and secure deployment). Own enterprise systems integration, dataflow design, and harmonization as RayzeBio transitions from pre-commercial to commercial-stage operations. Implement master data management solutions supporting unified product, customer, clinical trial, and manufacturing data domains. Lead metadata management, master data governance, and stewardship processesensuring alignment with GxP, privacy, and commercial compliance requirements. Set and monitor high standards for data quality, system validation, and audit-readiness in collaboration with business and technical stakeholders. Serve as strategic advisor on data, analytics, and AI readinesssupporting business, R&D, and executive teams with actionable architectural guidance. Influence and align cross-functional partners toward shared goals and enterprise data priorities; champion 'digital-first' and Gen AI-enabled innovations. Establish and maintain strong relationships with BMS stakeholders Recruit, onboard, and mentor a small, high-impact team as RayzeBio scales. Required Qualifications
BS Degree Minimum 10+ years in data architecture, analytics platform design, or commercial data operationsideally within biotech, pharma, or healthcare. Proven record designing and scaling cloud-native data platforms/data models in multifaceted settings (including early-stage or growth-phase companies). Experience driving requirements definition, collaborating with engineering, and integrating complex, heterogeneous data systems. Deep understanding of oncology or radiopharmaceutical data (commercial, clinical, medical, or R&D). Demonstrated ability to operate independently and prioritize in a lean, entrepreneurial environment. Strategic and systems-oriented, with a passion for building scalable solutions and driving cross-enterprise alignment. Energetic self-starter-comfortable managing uncertainty, setting priorities, and influencing senior stakeholders. Highly collaborative; able to synthesize diverse viewpoints and translate ambiguous needs into concrete data/AI roadmaps. Pragmatic communicatoradept at concise documentation, presenting actionable concepts, and driving stakeholder engagement. Preferred Experience
Experience in oncology-driven biotech or pharma, especially pre-commercial/early commercial stage. Working familiarity with life sciences regulatory frameworks (GxP, privacy, retention, commercial). Direct exposure to ML/AI in healthcare (predictive analytics, NLP, Gen AI, or decision support). Hands-on prototyping experience (Databricks, cloud notebooks, automation tools, etc.). Led or contributed to AI/ML/data platform initiatives within cross-functional/product teams. This is a rare opportunity to lead the AI transformation of a high-growth biotech, directly impacting our programs and patients, and shaping the future of data-driven medicinesupported by the vision and resources of Bristol Myers Squibb. Selective hybrid flexibility may be considered as noted above. RayzeBio and Bristol Myers Squibb are equal opportunity employers. All employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, or disability status. #RayzeBio If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.