Sr Dir, Enterprise AI Adoption & Transformation

3M•Maplewood, MN

11d•$287,281 - $351,122

About The Position

The Senior Director, Enterprise AI Adoption and Transformation will lead enterprise-wide adoption of Amazon Quick and related generative AI capabilities across 3M. The role is a senior product leadership, enterprise evangelism, and transformation position focused on identifying high-value use cases, moving solutions from pilot to production, establishing repeatable adoption patterns, and delivering measurable business outcomes. It is a business-led technology transformation role rather than primarily an infrastructure or cloud engineering position. The role partners across business functions, technology, data, cybersecurity, legal, privacy, and executive leadership. It leads the AI employee experience, including roadmap development, use case prioritization, adoption strategy, and value delivery. The position may be based onsite in Maplewood, Minnesota, or remotely within the United States, and may involve up to 10% domestic and international travel. Relocation assistance is authorized.

Requirements

Bachelor’s degree in a technology field, completed and verified before starting.
Twelve years of experience in technology, digital transformation, product management, enterprise innovation, or related fields in a private, public, government, or military environment.
Must be legally authorized to work in the country of employment without sponsorship for employment visa status.
Strong executive communication, storytelling, facilitation, and presentation skills.
Proven ability to influence across organizational boundaries without direct authority.
Demonstrated ability to build coalitions across business, technology, data, cybersecurity, and corporate functions.

Nice To Haves

Significant experience in technology, digital transformation, product management, or 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.
Passion for practical, business-focused enterprise AI; technical credibility with a focus on business outcomes and user adoption; ability to simplify complex technologies; a strong product mindset; comfort operating in ambiguity; pragmatism, curiosity, and willingness to challenge traditional approaches; ability to move quickly from experimentation to scaled deployment; and commercial focus on value realization.

Responsibilities

Develop and execute the enterprise adoption strategy for generative AI capabilities across the company.
Serve as 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.
Comply with corporate policies, procedures, and security standards while performing assigned duties.
Contribute to a strong Environmental Health and Safety culture by following safety policies, identifying hazards, and engaging in continuous improvement.