Associated Director - GSC AI Accelerator, Learning and Adoption Lead
Bristol Myers Squibb · Dublin, IE, Ireland
At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.
The Role
Bristol Myers Squibb is looking to recruit a permanent Associated Director - GSC (Global Supply Chain) AI Accelerator, Learning and Adoption Lead.
Position Summary
The AD, GSC Digital, Learning, AI Adoption, & Acceleration serves as the GSC go-to expert for digital innovation insight, learning enablement, AI acceleration, and adoption discipline within Business Performance & Transformation and across priority GSC capability areas. The role shapes how GSC identifies, assesses, prioritizes, learns about, and adopts digital and AI capabilities that improve business performance, user experience, and value realization.
The role contributes to GSC digital and AI strategy by bringing forward emerging technology trends, recommending where GSC should invest, developing business cases for selected tools, platforms, and adoption approaches, and translating priority AI opportunities into practical pilots, adoption plans, and measurable business outcomes. It is expected to solve new and ambiguous capability-building problems where no established playbook exists and to set practical standards that can be reused across multiple sites, teams, or sub-functions.
The role owns the learning and adoption approach for priority digital and AI capabilities, including technology radar, learning pathways, adoption plans, adoption analytics, stakeholder engagement, standards, and continuous improvement. It partners with IT/Digital, Data Operations, Data Capability leadership, process owners, change leads, business SMEs, vendors, partners, and other BMS functions to ensure digital and AI investments are understood, adopted responsibly, and sustained — coordinating project teams, managing adoption risks, tracking value realization, and escalating decisions or trade-offs through appropriate governance
Key Roles and Responsibilities
Digital & AI Innovation Strategy, Technology Radar & Investment Input
• Own and maintain the GSC digital innovation radar for priority technologies, including AI, analytics, process intelligence, automation, digital adoption platforms, connected applications, and emerging supply chain technologies.
• Bring forward external and internal digital trends before they become urgent, translating them into business implications, opportunity areas, risks, and leadership-ready recommendations.
• Shape the prioritized pipeline of digital and AI innovation opportunities by assessing value, feasibility, user need, technology fit, reuse potential, and alignment to GSC strategy.
• Develop and defend business cases and recommendations for selected digital tools or adoption approaches, including expected value, investment rationale, implementation considerations, and adoption requirements.
• Contribute input into the GSC AI roadmap under senior leadership direction, helping translate priority AI opportunities into practical pilots, adoption plans, and measurable business outcomes.
AI Acceleration & Program Delivery
• Contribute to the prioritization and delivery of AI use cases within assigned GSC programs, ensuring alignment to department goals, business value, user needs, and enterprise technology direction.
• Coordinate pilots, rollouts, and implementation activities for approved AI capabilities, including generative AI, analytics, decision support, automation, and AI-enabled workflow improvements.
• Translate business requirements into clear use case definitions, adoption needs, success measures, and implementation plans in partnership with IT/Digital, Data Operations, and business SMEs.
• Track milestones, risks, dependencies, and adoption outcomes for assigned AI initiatives, escalating issues and decisions through appropriate governance forums.
Learning Center for Digital & AI Capability
• Establish and operate a GSC learning center for digital, data, AI, analytics, process, and platform capabilities, focused on practical understanding and real-world application.
• Define role-based learning pathways that help GSC colleagues understand which technologies matter, what they can do, how to use them, and how they support business outcomes.
• Develop training content, quick reference guides, playbooks, demos, showcases, onboarding materials, and knowledge assets for priority technologies and ways of working.
• Build AI exposure and practical literacy within relevant GSC user groups by creating accessible learning content and helping teams understand how to use AI responsibly in daily work.
• Connect internal SMEs, external insights, vendor material, partner input, and business examples into coherent learning journeys that are accessible, scalable, and easy to consume.
Digital & AI Adoption Strategy, Execution & Value Realization
• Create and execute adoption strategies for new and existing digital and AI capabilities, ensuring solutions are introduced with clear value propositions, personas, stakeholder plans, role-based training, communications, learning plans, adoption KPIs, and sustainment actions.
• Embed adoption support into the flow of work through in-application guidance, contextual help, onboarding journeys, workflow support, nudges, office hours, and role-relevant communications where appropriate.
• Define and manage adoption KPIs for priority digital and AI capabilities, including usage, engagement, proficiency, training completion, process adherence, support demand, user feedback, and value realization indicators.
• Identify adoption barriers, capability gaps, process friction, and user readiness risks, then coordinate targeted interventions to improve engagement, proficiency, and sustained usage.
• Use adoption analytics, user feedback, process insights, and business outcomes to identify improvements and influence future roadmap or investment decisions.
• Prepare leadership-ready updates that summarize adoption health, risks, decisions needed, value delivered, and recommended next actions for assigned initiatives.
AI-Ready Data, Standards, Governance & Responsible Use
• Support identification of data requirements for assigned AI use cases, partnering with Data Operations and Data Capability leadership to clarify data quality, availability, ownership, and business rule needs.
• Contribute to AI-ready data improvement actions by feeding use case requirements into data model design, data quality prioritization, and data lifecycle discussions.
• Create practical standards for digital learning content, adoption playbooks, KPI definitions, feedback loops, sustainment practices, and community engagement across priority GSC technology initiatives.
• Solve ambiguous and first-of-a-kind adoption and capability-building challenges, setting repeatable approaches that can become the standard for future digital and AI initiatives.
• Promote and apply responsible use of digital and AI technologies, including privacy, data integrity, compliance, GxP considerations where applicable, cyber/security expectations, human-in-the-loop practices, and responsible AI principles.
• Document assumptions, risks, decision points, and required controls for AI-supported workflows, escalating governance topics when broader decision rights are required.
• Ensure learning and adoption content remains current, role-relevant, and aligned with GSC strategy, enterprise technology direction, and applicable policies.
Community, Stakeholder, Project & Team Leadership
• Build and facilitate digital