AI Enablement Lead

About the role This role exists to make sure everybody at Unity — every Partner and Functional Leader, and everyone in their teams — can actually use AI well in their everyday work, and to turn that capability into real automation and productivity gains across the business. It reports jointly to the Chief People Officer and the Chief AI Officer, because doing this well is as much about people, capability and how Unity actually works day to day as it is about the technology itself. It suits someone who lives at the frontier of what's possible with AI — building with the latest tools themselves and evolving their own approach every few weeks, not working from a playbook that's a year out of date. It suits someone who gets real satisfaction from building capability in others, reimagining how work actually gets done, and shipping things that stick, rather than setting technology direction from the top. You'll be building the operational muscle of Unity's AI Centre of Excellence from scratch, and sequencing what matters most first. What you'll own Firm-wide AI capability and training: design and drive practical AI upskilling across client-facing and enablement teams, working closely with the Performance & Development Lead so AI capability is built into onboarding and ongoing development, not run as a separate initiative Reimagining the work: spot where new AI capability means Unity can remove whole steps or approach a problem completely differently, not just automate what already exists, then get alongside client teams and enablement functions to make it real Automation and adoption: identify, prioritise and deliver automation that maximises the value Unity gets from the AI tools already in use, and evaluate new ones on their merits Role and ways-of-working design: as AI takes on more of the work, help Unity rethink who does what, where judgement sits and how junior people learn — including, as whole workflows move onto Weaver, designing the team and role changes that follow: new responsibilities around workflow ownership, supervision, judgement and exceptions 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 Chie