AI Learning and Enablement Lead

AI Learning and Enablement Lead
Level: Director L5
Function: Learning and Talent Development / People Function
Reports to: Head of Learning and Development
Matrix / line management: Learning Managers supporting AI deployment and delivery
Location:  Contract London
Core outcome : build practical, responsible AI capability across the firm and help colleagues apply approved AI tools in ways that improve quality, consistency and productivity.

Role Purpose

The AI Learning and Enablement Lead is responsible for building the learning and adoption system that helps Kroll colleagues use approved AI tools safely, confidently and effectively in the flow of work. The role translates enterprise AI strategy, approved tools, responsible use expectations, business priorities and service-line needs into practical learning pathways, deployment playbooks, role-based resources, champion, citizen development, builder enablement, manager toolkits and adoption measurement. 

This is not a traditional training role with AI added on. It is an enterprise enablement and behaviour-change role, with a clear focus on real workflows, measurable impact and responsible use.

Key Responsibilities

• Develop and maintain a practical AI learning and enablement roadmap aligned to Kroll’s enterprise AI strategy, approved tools, governance expectations and service-line priorities.
• Own the AI learning deployment model across onboarding, activation, role-based application, workflow integration, champion, citizen development, builder enablement, manager support, adoption reinforcement and impact measurement.
• Design, build and deliver AI learning pathways covering AI literacy, responsible use, prompt practices, role-based use cases, workflow application, advanced features and practical adoption for priority teams.
• Embed AI learning into Kroll University, Oracle Learning, onboarding journeys, learning taxonomy, content governance, learning communications and reporting.
• Develop and maintain AI Deployment Playbooks 
• Create practical learning assets including prompt packs, first-five-prompts resources, role-based workflow guides, use case exercises, manager toolkits, leader briefing materials, champion, citizen development, builder enablement resources, responsible AI guidance and adoption communications.
• Translate technical AI concepts into clear, usable guidance for non-technical audiences, including job aids, live sessions, digital resources, leader talking points and learner communications.
• Partner with IT, Data/AI, Risk, Legal, Compliance, Privacy, HR, Communications and business leaders to ensure learning content reflects approved tools, safe-use guidance, data protection expectations, escalation routes and governance requirements.
• Support tool adoption for approved enterprise AI tools, including ChatGPT Enterprise, Microsoft Copilot, GitHub Copilot and future approved platforms where learning support is required.
• Design structured enablement for new AI license users, including launch communications, feature awareness, onboarding, responsible use reinforcement, prompt practice, use case discovery and impact survey loops.
• Support the AI champion citizen development, builder and practitioner ecosystem by designing champion, citizen development, builder onboarding, learning toolkits, use case discovery templates, prompt challenge materials, barrier reporting templates and outcome reporting guidance.
• Work with the Community Manager, AI Champions, Citizen Developers, Builders Business Engagement Lead, Learning Managers and Change/Communications partners to support peer learning, use case sharing, prompt libraries, showcases and adoption campaigns.
• Support managers and leaders with practical enablement resources that help them set expectations, model responsible AI use, review AI-assisted outputs and embed AI into team workflows.
• Use data and feedback to measure learning reach, confidence, adoption, active use, quality of use, business impact, time saved, workflow improvement and content effectiveness.
• Monitor external AI learning trends, market practice and vendor resources, bringing practical recommendations back into LTD without chasing novelty for its own sake.
• Maintain AI learning content governance, including version control, review cadence, refresh cycles, retirement of outdated guidance, taxonomy tagging and alignment with approved tools and policies.

Required Experience and Capabilities

• Strong experience in learning and development, workforce enablement, digital adoption or technology-enabled change.
• Proven ability to manage complex programs that design and deliver scalable learning in a global, matrixed organisation.
• Hands-on familiarity with generative AI tools and the ability to explain AI concepts, opportunities, limitations and risks in clear business language.
• Sound judgement on responsible AI, confidentiality, data protection, human review and the limits of AI-generated outputs 
• Experience translating strategy, governance and technology change into practical learner journeys, toolkits, communications and adoption support.
• Strong stakeholder management skills, with confidence partnering across technical, risk, legal, HR, communications and business audiences.
• Experience creating learning pathways, digital resources, live learning sessions, job aids, communications and adoption materials for varied learner groups.
• Strong programme discipline, including planning, prioritisation, dependency management, vendor coordination, risk management and continuous improvement.
• Comfort using data, dashboards and feedback to evaluate learning effectiveness, adoption and behaviour change.
• Ability to create clear, high-quality content quickly and maintain it through a structured review and refresh cycle.
• Ability to work through ambiguity while creating structure, delivery rhythm and stakeholder alignment.

Preferred Experience

• Experience in professional services, financial advisory, risk advisory, consulting or another high-trust client-service environment.
• Experience with ChatGPT Enterprise, Microsoft Copilot, GitHub Copilot, enterprise AI tools, learning experience platforms or Oracle Learning.
• Experience building communities of practice, champion, citizen development, builder networks, peer enablement models or adoption campaigns.
• Experience designing cohort-based learning, promptathons, office hours, showcases, workflow labs or applied learning sprints.
• Formal training, certification or experience in Business Transformation, Program management, change management, instructional design, digital learning
• Experience working with AI governance, citizen development, responsible technology adoption or regulated learning content.
• Experience partnering with business SMEs to turn real workflows into learning experiences, prompt libraries and use case examples.

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