Strategic Enterprise AI Adoption & Transformation Lead

3M Vietnam

Minnesota

On-site

USD 287,000 - 351,000

Full time

14 days+

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Benefits offered by this job

Relocation assistance

Medical, Dental & Vision benefits

Well-being programs

Job summary

3M seeks a Senior Director for Enterprise AI Adoption and Transformation to drive enterprise-wide AI adoption and value realization. You will partner across R&D, Manufacturing, Supply Chain, and other functions to move AI from pilots to scalable production, shaping an enterprise AI strategy with governance and measurable outcomes.

The role requires deep AI expertise, executive communication skills, and a track record of leading large-scale transformation across diverse teams.

Qualifications

Bachelor’s degree in technology field (completed and verified).
12 years of experience in technology, digital transformation, product management, or enterprise innovation.
Significant experience leading enterprise-scale tech and AI initiatives.
Experience deploying platforms across large organizations.
Experience with senior executives and cross-functional leaders.
Experience moving AI solutions from concept to production adoption.
Strong understanding of generative AI concepts and prompt engineering.
Experience with AWS AI technologies and related services.
Experience with enterprise AI platforms (Copilot, ChatGPT Enterprise, etc.).
Understanding of enterprise apps and data environments.
Knowledge of cybersecurity, privacy, and enterprise risk controls.
Proven ability to influence across boundaries.
Executive communication and storytelling skills.
Ability to build coalitions across functions.

Responsibilities

Develop and execute the enterprise adoption strategy for generative AI.
Lead AI employee experience roadmap, use case prioritization, adoption strategy, and value delivery.
Partner with R&D, Manufacturing, Supply Chain, Finance, Legal, HR, and other functions to identify AI opportunities.
Translate business challenges into scalable AI products, workflows, and automation.
Align to a formal process for AI use case intake, governance, and scaling.
Lead executive demonstrations, workshops, and AI showcases.
Build and activate a community of AI champions.
Collaborate with AI platform engineering and data teams to enable secure, scalable solutions.
Support integration of AI capabilities with enterprise systems.
Influence AI platform roadmap based on business needs and feedback.
Define success metrics and executive reporting for adoption and impact.
Prioritize investments toward high-value AI use cases.