unity-advisory - AI Enablement Lead
Requirements
• Someone who lives at the frontier: actively building with the latest AI tools themselves and evolving their own approach every few weeks. Come with examples of what you've built — we want to see it, not just hear about it • A senior operator with a genuine track record of delivering AI and automation adoption at an organisational level — we're more interested in evidence of real impact than where you've done it before • A genuine interest in ways of working, role design and how people actually do their jobs, not just the technology — this is a people and change role as much as a technical one • Comfortable building smaller things yourself — prototypes, scripts, workflows — and clear-eyed about when to bring in VP Product and Engineering for shared integrations or production-grade build • Comfortable building the operational muscle of a function from scratch, and sequencing what matters most first rather than trying to do everything at once • Confident training and influencing Partners and Functional Leaders directly, translating strategy into practical, adopted value • A pragmatic operator who executes guardrails without adding bureaucracy — in keeping with Unity's "progress over process" and "light scaffolding" principles • Excellent communicator, able to make AI capability accessible and credible to non-technical audiences at every level • How this role fits at Unity • You'll report jointly into the Chief People Officer and the Chief AI Officer — a deliberate dual line, reflecting that this role is as much about capability, learning and ways of working as it is about AI itself. You'll work closely with the Performance & Development Lead so AI capability-building lines up with Unity's wider approach to development and growth, and directly with Partners and Functional Leaders across client teams and enablement functions on automation, adoption and reimagining how work gets done. • With VPs for Product and Engineering, the model is simple: you build and ship smaller things yourself, and bring the team in when something needs shared integrations, scaling or ongoing production support. You'll also work with the enterprise IT team on infrastructure and security.
Responsibilities
• Governance in practice: implement the policies and guardrails the Chief AI Officer sets for safe, compliant and ethical AI use — covering data privacy and client confidentiality — making sure they're followed in practice without slowing teams down • Build, ship and partner with Engineering: personally build and ship smaller tools and prototypes using the latest AI capabilities; bring in VP Product and Engineering when something needs shared integrations, scaling or ongoing production support • Tooling and vendor management: manage the day-to-day AI tooling estate: select, pilot and manage relationships with AI platforms and vendors, and retire what isn't earning its place, working with the enterprise IT team on infrastructure and security • Measurement and reporting: build a simple set of KPIs for adoption, automation impact and ROI, and report progress jointly to the Chief People Officer and Chief AI Officer • What success looks like in year one • Everybody at Unity, from Partners to enablement staff, confident and capable using AI well in their day-to-day work • Several whole steps or processes genuinely reimagined or removed — not just automated — with visible productivity gains across client delivery and enablement functions • Every new and existing employee equipped with practical, role-relevant AI skills, not generic training • A clear, shared view with the CAIO and CPO of how roles, judgement and team shape need to evolve as more work moves onto AI and platforms like Weaver • AI guardrails followed in practice across the business, without becoming a source of friction
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