# Sr Dir, Enterprise AI Adoption & Transformation **Company**: 3M **Location**: Maplewood, Minnesota **Work arrangement**: onsite **Experience**: senior **Job type**: full-time **Salary**: $287,281 - $351,122 **Category**: Product Management **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q159433 **Apply**: https://3m.wd1.myworkdayjobs.com/en-US/Search/job/US-Minnesota-Maplewood/Sr-Dir--Enterprise-AI-Adoption---Transformation_R01171561?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_80fbc5ee-9d0 ## Description 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. ## Skills ### Required - Bachelor's degree in technology field - 12 years of experience in technology, digital transformation, product management, enterprise innovation ### Nice to have - 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 - Experience with AWS AI technologies - Experience with enterprise AI platforms --- Source: [Apply at 3m.wd1.myworkdayjobs.com](https://3m.wd1.myworkdayjobs.com/en-US/Search/job/US-Minnesota-Maplewood/Sr-Dir--Enterprise-AI-Adoption---Transformation_R01171561?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)