Job Summary: The Group AI Transformation Manager is the primary driver of AI adoption across a Group of 3–7 businesses. Reporting to the Group Leader and in close partnership with the reputed company AI Centre of Excellence (CoE), this role translates enterprise AI strategy into practical, commercially-relevant action at the BU level. The human bridge between strategic intent and operational reality. Accelerating adoption, building capability, and ensuring that AI delivers measurable business value across the group. This is fundamentally a change, commercial and capability role not a technical one. The AI Transformation Manager does not build AI solutions; they create the conditions and accelerate the pace in which AI solutions are adopted, embedded, and scaled within our business units. Job Description: Job Specifications Compensation Range: $150,000 - $200,000 + Bonus Current Vacancy: Yes Location: Remote, US or Canada Applicants Welcome Key Responsibilities 1. AI Strategy & Opportunity Development Develop and maintain an AI transformation roadmap for the group, mapping each BU's current maturity, near-term priorities, and 12–18 month opportunity pipeline aligned to the Group Leader/BU strategy. Identify and prioritise AI use cases across the group's BUs, using a structured framework (impact × feasibility × strategic fit) to focus effort where it will deliver the most value. Translate market intelligence and CoE updates on emerging AI capabilities into specific commercial opportunities for BUs in the group. Lead regular AI opportunity reviews with Group Leader, BU leaders, and the COE — challenging ambition levels and connecting BU-level ideas to enterprise-wide patterns. Feed group-level insights and use case results back to the CoE to inform the reputed company AI roadmap. 2. AI Adoption & Implementation Acceleration Act as the primary implementation partner for BUs deploying AI tools and workflows — working directly with BU leaders, functional heads and AI Champions to move from decision to live deployment faster. Diagnose and actively remove adoption barriers such as capability gaps, process friction, data readiness, change resistance, or resource constraints. Lead the scoping, design, and monitoring of AI pilots within the group, ensuring they are set up to generate transferable learning and scale-ready outcomes. Identify and replicate success where applicable. When a use case works in one BU, the AI Transformation Manager actively leads its adaptation and rollout across other BUs in the group. Hold BU leaders accountable for agreed AI adoption milestones with support and challenge. 3. AI Champions Partnership & Capability Building Serve as the day-to-day operational partner to AI Champions across the group — providing guidance, escalation support, a direct link to CoE resources, and share learnings from BUs across the Group. Support AI Champions in running BU-level awareness, education, and engagement activities, co-designing sessions where needed, not doing it for them. Help AI Champions develop their BU AI readiness assessments and activation plans; review and challenge these constructively. Identify capability gaps across the group's workforce and commission or coordinate learning interventions through the CoE. Track and report on AI literacy levels and adoption readiness across the group, using CoE maturity framework. 4. Stakeholder Engagement & Change Leadership Build trusted relationships with BU leaders across the group: acting as a credible, commercially-aware advisor who understands their market and customers, not just their technology. Manage the human side of AI change within the group: surface and address concerns proactively, communicate progress reputed company, and ensure no BU feels left behind. Represent the group's needs and voice in CoE working groups and enterprise AI governance forums. Active participants in their AI Transformation Management Peer Group Brief Group Leader regularly on adoption progress, emerging risks, and priority decisions that require their intervention. Work with HR and the CoE to connect AI adoption to the AI Impact Personas framework, helping BU leaders understand the people implications of the AI they are deploying. 5. Performance, Measurement & Reporting Own the group's AI adoption scorecard: tracking key metrics including adoption rates, use cases live, value delivered, capability development, and maturity. Provide regular reporting to the Group Leader and CoE on progress against the group's AI transformation roadmap. Identify patterns, blockers, and best practices across the group and contribute these to the wider network of AI Transformation Managers across other groups. Person Specification This role requires commercial instinct, change management skill, and enough AI understanding to be credible without being a technologist. The combination is going to be fairly scarce; the best