The opportunity
You will partner closely with Enterprise AI within the Enterprise Technology & AI organization, while remaining embedded in your own function. Enterprise AI provides the technical delivery capability, platforms, and patterns.
What you'll do
Own your function's AI strategy, aligned with your Executive Sponsor and: business priorities. Understand which metrics matter to the org, identify what will move the needle, define how you'll measure impact, and track progress over time.
Map how work flows across your function end-to-end, including the handoffs: upstream and downstream to other orgs. Identify where the real constraints are, not just the ones your team can see. Focus on the 100x problems: where could leveraging AI in a workflow let your org execute it orders of magnitude faster, or at 100x more volume than before?
Manage intake of AI requests, ideas, and pain points from across the: function, including via your Champion network. Ensure every team member has a clear route to surface what they need, rather than building independently.
Prioritize strategically against business outcomes and executive guidance.: Hold the line on priorities - we cannot change direction every two weeks - and ensure the AI Engineer's time is spent on the highest-impact work.
Reimagine, not just automate. Challenge your org to think beyond injecting AI: into existing workflows. Work with Enterprise AI to spot opportunities to fundamentally rethink how work gets done.
Drive adoption and change management together with the AI Engineer. The best: AI solution is worthless if nobody uses it. Create the channels, rituals, and feedback loops that make AI visible in your function: shared spaces for teams to show what they've built, regular office hours, onboarding for new hires, and celebration of wins. Own the rollout and iteration needed to make AI initiatives stick.
What they're looking for
- Coordinate with Enterprise AI to ensure your function benefits from patterns,: tools, and learnings emerging across other parts of the business.
- Build and bridge the Champion network in your function. Champions are the: peer community that extends your reach beyond what you and the AI Engineer can deliver directly. From early in the role, identify and recruit Champions across sub-teams (5-10% time, formally agreed with their manager), run a regular Champion sync, host demos to the wider function, and act as their bridge to Enterprise AI. Champions are not your reports: you coordinate them, you don't manage them. Without this network, your reach is capped.
- Build AI agents using no-code and low-code platforms (e.g. Glean, Workato,: similar tools). Go from idea to working prototype without waiting for engineering.
- Author and iterate on skills files that define how AI agents behave. Refine: instructions based on real usage and share reusable skills across the function.
