AI Adoption & Enablement Lead
Job Description
As the AI Adoption & Enablement Lead, this role is the primary change agent driving the human adoption of AI across the organization – turning the AI platform’s capabilities into real, everyday productivity gains as part of the organization's multi-year AI Workforce Transformation. The role bridges the AI engineering team and the wider business, translating what is technically possible into what is practical and valuable for teams. The position requires a blend of technology fluency, communication, training and change management skills. It exists to accelerate safe, responsible AI adoption – cultivating a network of AI champions, sourcing and shepherding high-impact use cases, and embedding AI copilots into daily workflows – so that the organization becomes a genuinely AI-augmented & human-led. Requirements Technical Competencies Adoption Strategy & Planning Develop and own the AI adoption and enablement roadmap aligned to the transformation Blueprint, with clear targets for the AI Augmentation Index. Training Programme Delivery Design and run training curricula, workshops, demos and onboarding for AI copilots and tools across business units. Enablement Content Produce playbooks, quick-start guides, prompt libraries, FAQs and success stories that make AI easy to adopt and reuse. Champions Network Build and coordinate a cross-functional AI champions network and community of practice; equip champions to drive adoption locally. Use-Case Pipeline Source, qualify and prioritise AI use cases with business owners and the AI engineering team; track them from idea to adoption. Adoption Measurement Define adoption KPIs, instrument usage tracking with the engineering team, and report progress and impact to leadership and the AI Steering Committee. Responsible-AI Enablement Embed human-in-the-loop, transparency and responsible-AI guidance into all enablement; help users understand controls and escalation paths. Stakeholder Engagement Partner with business-unit leaders, HR/L&D, Risk and Compliance and Internal Communications to land adoption initiatives smoothly. Feedback Loop Gather user feedback and adoption barriers and channel them back to the AI engineering team to improve tools and experience. External Thought Leadership Represent the organization selectively at partner forums and industry events and through content, strengthening thought leadership and the employer brand. Continuous Improvement Stay current on AI adoption best practice and continuously refine enablement approaches.
Requirements
A Bachelor’s degree in a relevant field (Computer Science, Business, Communications, or related); a Master’s degree is an added advantage; 5+ years of experience in technology adoption, enablement, developer relations, change management, or technical training; ideally including AI/ML or digital-transformation programs; strong working understanding of AI/ML and Large Language Models (what they can and cannot do, prompt design, copilots, and common enterprise use cases); ability to translate technical concepts into practical, business-relevant solutions; experience in designing and delivering training programs and enablement content; strong stakeholder engagement and communication skills; familiarity with responsible AI practices and change management principles.
Posted
July 16th, 2026
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