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Job Description: AI Adoption & Enablement Lead
Job Title
AI Adoption & Enablement Lead
(Alternative titles: AI Transformation Lead, Head of AI Adoption, AI Business Partner, AI Enablement Manager)
Role Overview
We are seeking an experienced AI Adoption & Enablement Lead to help accelerate the effective, responsible and commercially valuable use of Artificial Intelligence across the business. This role will act as the bridge between technology and business teams, identifying practical AI opportunities, driving adoption, establishing governance standards, and ensuring AI investment delivers measurable business outcomes.
Working closely with leadership, marketing, sales, account management and customer-facing teams, the successful candidate will help embed AI into day-to-day operations while maintaining appropriate controls around risk, cost, accuracy and ethical usage.
Key Responsibilities
AI Opportunity Identification & Delivery
- Identify, assess and prioritise practical AI use cases across business functions.
- Work with stakeholders to understand operational challenges and determine where AI can improve productivity, efficiency and customer outcomes.
- Support the development and execution of AI pilots, proof of concepts and business-led AI initiatives.
- Evaluate emerging AI technologies and recommend suitable solutions aligned to business objectives.
AI Adoption & Change Management
- Drive AI adoption across marketing, sales, account management and customer-facing teams.
- Support business teams in integrating AI tools into everyday workflows and processes.
- Develop and execute AI adoption plans that encourage sustainable behavioural change.
- Build communities of practice and facilitate knowledge sharing across the organisation.
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Training & Enablement
- Educate employees on effective AI usage and best practices.
- Develop training materials, user guides and enablement resources.
- Deliver workshops, demonstrations and coaching sessions to improve AI literacy and confidence.
- Create and support a network of AI Champions or Super Users to drive adoption at a local team level.
Governance, Risk & Responsible AI
- Advise stakeholders on AI governance, responsible use and compliance requirements.
- Promote best practice around AI accuracy, validation, human oversight and decision-making.
- Develop guidance and policies that support ethical and controlled use of AI technologies.
- Help identify and mitigate risks associated with AI implementation and usage.
AI Performance, ROI & Value Realisation
- Establish measures to track AI adoption, utilisation and business impact.
- Help define and monitor success metrics for AI initiatives.
- Produce evidence-based reporting that demonstrates productivity gains, cost savings or revenue impact.
- Support leadership in assessing return on investment and scaling successful implementations.
Vendor & Tool Management
- Provide advice on AI tools, platforms and licensing options.
- Support evaluation and selection processes for new AI technologies.
- Help optimise AI-related costs and ensure effective licence utilisation.
- Maintain awareness of market developments and emerging AI capabilities.
Key Skills & Experience
Essential
- Experience leading AI adoption, digital transformation or technology enablement programmes.
- Strong understanding of Generative AI tools and their business applications.
- Experience engaging stakeholders across multiple business functions.
- Excellent communication, facilitation and training skills.
- Understanding of AI governance, ethics, risk management and responsible AI principles.
- Ability to develop business cases and demonstrate measurable value from technology investments.
- Strong analytical and problem-solving skills.
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Desirable
- Experience with Microsoft Copilot, Microsoft 365, Azure AI or other enterprise AI platforms.
- Knowledge of change management methodologies.
- Experience creating training programmes and user adoption frameworks.
- Familiarity with data governance and information security principles.
- Relevant certifications in AI, technology transformation or project management.
Key Success Measures
- Growth in AI adoption and active usage across the business.
- Increased productivity and efficiency delivered through AI-enabled processes.
- Number of AI champions established and actively supporting teams.
- Demonstrable ROI from AI initiatives and use cases.
- Compliance with AI governance and responsible AI standards.
- Reduction in unmanaged AI usage, risk exposure and unnecessary costs.
- Positive employee feedback and increased confidence in using AI tools.
Reporting Line
The AI Adoption & Enablement Lead will work closely with senior leadership, business function heads, technology teams and external partners to ensure AI becomes a practical, responsible and value-generating capability across the organisation.
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