Sr Dir, Enterprise AI Adoption & Transformation at 3M in Maplewood, MN

  • Company: 3M
  • Location: US, Minnesota, Maplewood
  • Salary: $287K – $351K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-01

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Job description

Job Description: Sr Dir, Enterprise AI Adoption & Transformation Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government or military experience to a 3M career. The Impact You Will Make in this Role 3M is accelerating the adoption of generative AI and agentic technologies to transform how employees access knowledge, make decisions, automate work, and create business value. The Senior Director, Enterprise AI Adoption and Transformation will lead enterprise-wide adoption of Amazon Quick and related generative AI capabilities across 3M. This role serves as a senior product leader, enterprise evangelist, and transformation catalyst for AI adoption. The successful candidate will partner across business functions, technology, data, cybersecurity, legal, privacy, and executive leadership to identify high-value use cases, move solutions from pilot to production, establish repeatable adoption patterns, and deliver measurable business outcomes. This is a business-led technology transformation role, not primarily an infrastructure or cloud engineering position. The ideal candidate combines strong knowledge of generative AI and agentic technologies with enterprise product management, organizational change leadership, executive communication, and value realization discipline. Primary Responsibilities Develop and execute the enterprise adoption strategy for generative AI capabilities across the company. Serve as the enterprise product leader for the AI employee experience, including roadmap, use case prioritization, adoption strategy, and value delivery. Partner with leaders across R&D, Manufacturing, Supply Chain, Commercial, Finance, Legal, Human Resources, Global Business Services, and other functions to identify and prioritize high-impact AI opportunities. Translate business challenges into scalable AI products, workflows, agents, knowledge experiences, and automation solutions. Align to a structured process for AI use case intake, prioritization, incubation, governance, scaling, and ongoing adoption. Lead executive demonstrations, business workshops, roadshows, innovation sessions, and AI showcases to build awareness and demand. Build and activate a community of AI champions and power users across 3M. Collaborate with AI platform engineering, enterprise architecture, cybersecurity, data, cloud, privacy, and compliance teams to enable secure and scalable solutions. Support integration of AI capabilities with enterprise systems and data sources. Influence the enterprise AI platform roadmap based on business needs, adoption barriers, user feedback, and value opportunities. Define success measures and executive reporting for adoption, active usage, productivity improvement, cycle time reduction, employee experience, risk, and financial impact. Partner with business leaders to validate realized benefits and continuously prioritize investments toward the highest-value use cases. Leadership Attributes Passionate advocate for practical, business-focused enterprise AI. Technically credible while remaining highly focused on business outcomes and user adoption. Able to simplify complex technologies for executives, business leaders, and employees. Strong product mindset with focus on user experience, scalability, and measurable impact. Comfortable operating in ambiguity and shaping strategy in a rapidly evolving technology area. Pragmatic, curious, and willing to challenge traditional ways of working. Able to move quickly from idea to experimentation to scaled deployment. Commercially minde

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