About this role
Role Purpose Own the delivery and adoption of AI across Version 1’s support functions. This role is accountable for identifying high-value AI opportunities in HR, Finance, Legal, Marketing, and other internal teams, building and deploying solutions that deliver measurable efficiency gains, and driving adoption so those solutions are actually used. This leader bridges the gap between CoE strategy and real-world business process transformation. Context Version 1’s AI Native ambition requires AI adoption to extend well beyond software delivery into every function of the business. Support functions like HR, Finance, Legal, and Marketing handle high-volume, process-heavy work that is well suited to AI-driven automation and augmentation. But these teams rarely have the technical capacity or AI expertise to build and embed solutions themselves. The AI Solutions & Internal Adoption Lead fills this gap. Sitting alongside the Enablement and Engineering leads within the CoE, this role takes a fundamentally different approach: rather than enabling others to adopt AI tools, this leader owns the end-to-end delivery of AI solutions into support functions — from identifying the opportunity, through build and deployment, to driving adoption and measuring outcomes. This is a new role created as part of the CoE restructure. It consolidates responsibilities that were previously spread across the AI Platforms & Partner Technology lead (high-value internal builds) and the AI Enablement & Adoption lead (support function adoption), giving these critical activities dedicated leadership and focus. Key Responsibilities Own the AI adoption strategy for all support functions (HR, Finance, Legal, Marketing, and others), with clear roadmaps and measurable targets Identify and prioritise high-value AI opportunities across internal functions, working directly with function heads to understand pain points and quantify potential impact Lead end-to-end delivery of internal AI solutions, from requirements gathering through build, deployment, and handover Manage the AI Platform Specialist (IDC) as direct report, directing build priorities and ensuring delivery quality Drive adoption of deployed solutions, ensuring support function teams are trained, supported, and actively using AI tools in their workflows Define and track efficiency KPIs for each internal solution, feeding measurable outcomes to the DPO for inclusion in the €14.4M efficiency target Build relationships with support function leadership to maintain a pipeline of AI opportunities and secure ongoing sponsorship Collaborate with AI Enablement & Adoption lead on training materials and Champions support for internal solutions Work with AI Engineering lead to leverage reusable patterns, automation frameworks, and measurement infrastructure Manage the internal solutions catalogue, ensuring all deployed solutions are documented, supported, and continuously improved Contribute to the CoE’s quarterly prioritisation process, representing internal adoption opportunities against delivery and enablement workstreams Support commercial teams by providing internal case studies and reference implementations that demonstrate AI value to clients FY26 Objectives Deliver 20–30% capacity absorption in support functions (HR, Finance, Legal, Marketing) as measured by the DPO Build and deploy a minimum of 5 high-value internal AI solutions with documented ROI by end of FY26 Establish active AI adoption roadmaps with every support function head by end of Q1 Achieve 70% weekly active usage rates for deployed internal AI solutions within 3 months of go-live Contribute measurable efficiency gains to the €14.4M cost-of-sales target through internal automation and productivity uplift Build a pipeline of 15+ qualified AI opportunities across support functions by end of Q2 Deliver quarterly business reviews with each support function, tracking adoption, satisfaction, and realised value
Skills & Experience Required Proven experience leading AI or digital transformation initiatives within enterprise support functions (HR, Finance, Legal, or Operations) Strong stakeholder management skills with the ability to engage senior non-technical leaders, understand their business processes, and translate needs into AI solutions Track record of delivering measurable business outcomes from technology solutions, not just deployments but actual adoption and efficiency gains Working knowledge of Microsoft AI ecosystem (Copilot Studio, M365 Copilot, Azure AI services) and how these tools apply to business process automation Experience managing offshore or distributed delivery teams, with the ability to set clear priorities and maintain quality at a distance Solid understanding of change management principles and how to drive technology adoption in non-technical teams Ability to define and track KPIs, build business cases, and report on ROI at leadership level Desirable Experience in an IT consultancy or professional services envi