Sr Dir, Enterprise AI Adoption & Transformation

We are seeking a Sr Dir, Enterprise AI Adoption & Transformation to lead the 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.

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 minded and focused on value realization, not technology deployment alone.

Requirements:

• Bachelor’s degree in technology field.
• Twelve (12) years of experience in technology, digital transformation, product management, enterprise innovation, or related fields.

Preferred Qualifications:

• Significant experience in technology, digital transformation, product management, enterprise innovation.
• Experience leading enterprise-scale technology, AI, machine learning, intelligent automation, digital workplace, or transformation initiatives.
• Experience deploying technology platforms or digital capabilities across large, complex organizations.
• Experience working with senior executives and cross-functional business leaders.
• Demonstrated experience moving AI or digital solutions from concept and pilot through production deployment and scaled enterprise adoption.
• Strong understanding of generative AI concepts, including large language models, retrieval augmented generation, AI agents, enterprise search, knowledge management, model evaluation, context management, and prompt engineering.
• Experience with AWS AI technologies, including Amazon Quick, Amazon Q, Amazon Bedrock, or related AWS services.
• Experience with enterprise AI platforms such as Microsoft Copilot, ChatGPT Enterprise, Glean, Google Gemini, Salesforce Agentforce, or ServiceNow AI.
• Strong understanding of enterprise applications and data environments, including SAP, Microsoft 365, ServiceNow, Salesforce, cloud data platforms, APIs, and structured and unstructured enterprise information.
• Knowledge of cybersecurity, identity and access management, information governance, privacy, responsible AI, and enterprise risk controls.
• Proven ability to influence across organizational boundaries without direct authority.
• Strong executive communication, storytelling, facilitation, and presentation skills.
• Demonstrated ability to build coalitions across business, technology, data, cybersecurity, and corporate functions.

Benefits:

• Competitive pay and benefits, including Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits.