Program Manager, AI Enablement

Responsibilities

• The enterprise AI adoption program end to end, from use case discovery through production rollout and impact measurement
• Identifying and prioritizing high-value AI use cases across Engineering, Operations, HR, Finance, and Commercial
• Running enablement programs that drive adoption: live trainings, onboarding sessions, office hours, internal community channels
• Coaching users on prompt engineering: helping them translate business questions into effective prompts, refining outputs, and developing reusable prompt patterns
• Curating and publishing a library of use cases, prompt examples, and how-to guides; connecting power users to showcase real examples
• Facilitating adoption events (prompt-a-thons, internal demos, lunch and learns) including planning, facilitation, and follow-up
• Consulting with teams on use cases and recommending the simplest effective approach, prioritizing out-of-the-box capabilities over custom development
• Advising on tool limitations and when lightweight scripting or custom build is warranted versus when the request should be re-scoped
• Defining, tracking, and reporting adoption metrics (usage, activation, active users) and business impact to the executive team
• Collecting user feedback, surfacing blockers, and proposing practical solutions
• Coordinating with IT, Security, and Compliance to ensure AI use follows approved governance and responsible-use guidance
• Killing initiatives that aren't working and reallocating effort, without drama
• Five plus years of experience driving cross-functional programs, with at least one tour leading a horizontal initiative (cloud migration, digital transformation, ERP, security program, prior AI/ML rollout, or equivalent)
• Proven experience in enablement, change management, training, customer success, solutions consulting, or internal evangelism
• Demonstrated ability to drive change in an organization where you don't have direct authority over the people doing the work
• Strong technical literacy. You don't need to write the code, but you need to understand AI well enough to call BS, prioritize ruthlessly, and earn the respect of engineers
• Working knowledge of modern AI productivity tools (Microsoft Copilot, Claude for Work including Cowork and Claude in Excel, ChatGPT Enterprise, Gemini, or equivalent) and common enterprise use cases
• Familiarity with deploying and governing AI tools in a Microsoft 365 environment (Entra ID, conditional access, Purview, Defender)
• A portfolio of shipped outcomes, not just programs run. We want to see specific tools driven to specific adoption rates with specific business impact
• Strong stakeholder management and communication skills; comfortable working across functions and seniority levels