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Associate Director – GSC AI Accelerator, Learning and Adoption Lead
Bristol Myers Squibb. Own and maintain the GSC digital innovation radar for priority technologies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in digital transformation, AI adoption, and analytics within supply chain environments, with a strong focus on developing business cases, defining adoption strategies, and delivering measurable outcomes. Proven ability to influence stakeholders and coordinate cross-functional teams while promoting responsible innovation and compliance.
Highest-signal resume keywords
Digital TransformationAI Adoption StrategiesBusiness Case DevelopmentLearning Program DesignStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Use Case DevelopmentAnalytics ImplementationData Quality ImprovementChange ManagementTechnology AdoptionProcess IntelligenceAutomationDigital Adoption PlatformsKPI DefinitionBusiness Outcome Measurement
Soft Skills
Strong CommunicationCollaborative Working StyleFacilitation SkillsProblem SolvingRelationship Building
Tools & Technologies
Digital ToolsLearning Management SystemsData Analytics ToolsProject Management SoftwareCollaboration Platforms
Certifications & Qualifications
B.S. or B.A. in Relevant DisciplineMasters or MBA Preferred
Industry Keywords
Supply ChainBiotechPharmaceuticalGxPData IntegrityCybersecurityRegulated EnvironmentsContinuous ImprovementResponsible InnovationLearning Enablement
Tech Stack
Tools & technologiesCyber Security
About the role
Key responsibilities & impact- Own and maintain the GSC digital innovation radar for priority technologies
- Translate emerging digital trends into business implications, opportunities, risks, and leadership recommendations
- Shape the prioritized pipeline of digital and AI innovation opportunities
- Develop business cases and recommendations for selected digital tools and adoption approaches
- Contribute to the GSC AI roadmap and translate opportunities into pilots, adoption plans, and measurable outcomes
- Prioritize and deliver AI use cases within assigned GSC programs
- Coordinate pilots, rollouts, and implementation activities for AI capabilities
- Translate business requirements into use cases, adoption needs, success measures, and implementation plans
- Track milestones, risks, dependencies, and adoption outcomes
- Establish and operate a GSC learning center for digital, data, AI, analytics, process, and platform capabilities
- Define role-based learning pathways and develop training content, guides, playbooks, demos, showcases, onboarding materials, and knowledge assets
- Create and execute adoption strategies with value propositions, stakeholder plans, training, communications, KPIs, and sustainment actions
- Define and manage adoption KPIs and use analytics and feedback to improve adoption and investment decisions
- Support AI-ready data requirements and data quality improvement actions
- Create practical standards for learning content, adoption playbooks, KPI definitions, feedback loops, and sustainment practices
- Promote responsible use of digital and AI technologies, including privacy, compliance, GxP, cybersecurity, and human-in-the-loop practices
- Build and facilitate digital innovation, AI, and adoption communities of practice
- Run workshops, showcases, learning sessions, demos, and office hours
- Lead project teams or workstreams and coordinate cross-functional contributors
- Influence stakeholders through executive communication, business case storytelling, and adoption recommendations
- Manage external vendor or partner interactions and contribute reusable assets and leading practices
Requirements
What you’ll need- B.S. or B.A. in supply chain, business, management, engineering, computer science, data science, information systems, digital transformation, learning and development, organizational change, data/analytics, or a related discipline
- Masters, MBA, or equivalent experience preferred
- 8+ years of experience in supply chain, digital transformation, AI/data-enabled capability delivery, technology adoption, learning enablement, change management, analytics, or related capability-building roles in a complex organization
- Demonstrated experience identifying digital opportunities, shaping technology recommendations, developing business cases, and influencing investment or prioritization decisions
- Demonstrated experience delivering AI, analytics, automation, or digital capability pilots or implementations with measurable adoption and business outcomes
- Experience designing and delivering learning programs, training assets, communities of practice, showcases, workshops, demos, or capability-building journeys for enterprise technologies
- Experience defining adoption strategies and monitoring adoption KPIs, usage metrics, engagement, proficiency, feedback, training effectiveness, stakeholder readiness, or value-realization indicators
- Experience coordinating cross-functional project teams and influencing stakeholders at program, department, or sub-function level
- Strong understanding of digital, data, and AI technology landscapes, including AI, generative AI use cases, analytics, process intelligence, automation, data quality and data foundations, digital adoption platforms, responsible AI considerations, and supply chain technology trends
- Proven ability to solve ambiguous problems, set new standards, influence without authority, and partner effectively across business, IT/Digital, data, analytics, process, learning, change, vendor, and partner stakeholders
- Experience in Biotech/Pharmaceutical supply chain, manufacturing, planning, quality, or regulated environments preferred
- Understanding of GxP, data integrity, privacy, and cybersecurity expectations
- Strong digital acumen and ability to connect digital and AI capabilities to practical supply chain business outcomes
- Strong facilitation and learning mindset
- Analytical and outcome-oriented approach
- Ability to operate in ambiguity and create reusable standards
- Collaborative and inclusive working style with strong communication, stakeholder management, listening, and relationship-building capabilities
- Commitment to responsible innovation, data integrity, compliance, continuous improvement, and learning
Benefits
Comp & perks- Competitive salary
- Great benefits package
- Opportunities for growth
- Supportive environment
- Inclusion and wellbeing support
- Reasonable workplace accommodations/adjustments
- Ongoing support in roles