AI CoE Program Lead

About the role

As AI CoE Program Lead, you'll report directly to the COO to run and scale our AI Center of Excellence (CoE) . This isn't a greenfield build - the foundation is already in place: a live AI CoE Portal, a functioning AI Operating System, six rounds of company hackathons, and a 12-week cross-functional training program already underway. Your job is to take this from "early traction" to "default way of working" - driving adoption, tightening operations, and turning a hardworking group of part-time champions into a durable, scaled program. You'll be the connective tissue between DataOps and IT - who own the underlying infrastructure and data architecture - and the cross-functional CoE members who are driving adoption in their departments on top of their day jobs. You should be deeply fluent in AI yourself - comfortable deploying automations and agents, and genuinely energized by experimenting with new AI tools and techniques - while keeping the whole engine running smoothly, efficiently, and visibly delivering ROI. This is a deliberately hybrid role: equal parts hands-on AI builder and cross-functional program operator . We're looking for someone who can do both, even if not with equal depth on day one - strong AI chops are the harder thing to teach, so that's our primary bar. Roles & Responsibilities Scale the CoE Operating Model: Take ownership of the day-to-day running of the AI CoE - coordinating cross-functional champions across CISO, IT, RevOps, and other departments, all of whom are contributing on top of full-time roles. Make their CoE time as efficient and high-leverage as possible. Own the AI CoE Portal: Drive continuous improvement of the live Portal - the system of record for use-case intake, automation building, and governance. Manage the active pipeline of submitted use cases from idea to deployment. Run the Training Program: Own development and delivery of ongoing training. Formalize the Hackathon Cadence: Convert the hackathons-to-date into a repeatable quarterly playbook - sourcing ideas, structuring teams, judging, and converting winning projects into real workflows in the Portal pipeline. Drive Self-Service Automation: Champion and operationalize the company-wide vision that every employee learns to build their own automations - whether that's a Claude prompt/project, an n8n workflow built in the Portal, or a full web app. Build the enablement materials and guardrails that make this realistic for non-technical employees. Be the Coaching Backstop: Serve as the go-to point of contact for employee questions and troubleshooting when CoE champions aren't available - the person who unblocks someone stuck on their first automation. Own the Complex & Cross-Functional Builds: Recognize when an automation is too complex, sensitive, or cross-functional for an individual employee (or even a department champion) to build alone, and take direct, hands-on ownership of those builds yourself. Workflow Automation: Partner with department champions to identify manual, repetitive work and convert it into agentic, logic-based workflows (via n8n and the AI Operating System) that materially reduce manual effort. AI Governance: Champion governance processes for AI assets, ensuring proper review and approval in GitHub per our SDLC, and keep the governance framework current as the CoE scales. Hands-On AI Deployment: Personally design, build, and deploy automations and AI agents within the Portal pipeline - you're not just scoping use cases for others to build, you're in the tools yourself. Day-to-day experimentation builds your own knowledge; for the more complex solutions - particularly agents that touch core data or infrastructure - partner directly with DataOps to build them right. Stay on the Edge: Continuously evaluate and pilot new AI tools, models, and techniques as they emerge, and bring the best of what you find into the CoE's toolkit. This role is for someone who experiments with new AI technology as a habit, not an occasional project. Maturity Tracking & Reporting: Maintain and report on our position against the Gartner AI Maturity Scale, track progress toward our maturity targets, and translate that progress into clear updates for executive and board audiences. Change Management & Communications: Own internal AI communications - addressing "AI anxiety," celebrating wins, and building sustained excitement and trust in the program as it scales beyond early champions to the broader company.

Requirements

• Systems Thinking: You can look at a messy human process and map it

Benefits

Additional Information

At DevSavant, we are a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being. Join us and thrive in a supportive, success-driven environment.

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