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Build how ON.energy actually uses AI

AI only matters if people use it, and if it makes the work meaningfully better. We're hiring a Program Manager, AI Enablement to build and run ON.energy's enterprise AI adoption program from the ground up.

This is a high-ownership role for someone who turns ambiguity into momentum. You'll operate ahead of fully formed governance, tooling, and staffing, creating clarity through execution and proving value through rapid delivery.

You'll partner closely with AI Engineers, who handles the building. Your job is to make sure we're building the right things, getting them adopted, and showing measurable outcomes the executive team can defend. The CTO is the executive sponsor for AI Enablement and you'll work closely with him on prioritization and executive alignment. The day-to-day work of moving the company forward is yours.

Responsibilities Will Include:  

• 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

Requirements:

• 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
• Pragmatic about ROI. Equally allergic to hype-driven projects and to perfectionism that prevents shipping

Preferred Experience:

• Background in energy, utilities, industrial, or other operationally complex sectors
• Hands-on familiarity with modern AI tooling at a literacy level (LLM applications, RAG, agentic systems, evaluation frameworks)
• Exposure to OT/ICS environments or other settings where data sensitivity and operational safety constrain what you can deploy
• Prior experience as the first or early AI program hire at a company

Key Competencies:

• Evangelism mindset. Inspires adoption through practical value, storytelling, and clear examples
• Coaching and facilitation. Helps users learn by doing; adapts to different skill levels
• Works within tool constraints; avoids unnecessary engineering and complexity
• Bias for action. Tests, iterates, and shares learnings quickly
• Collaboration and trust. Open communication, receptive to feedback, proactive about surfacing risks and blockers