La Fosse
AI Enablement Lead
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AI Enablement Lead | 6 month contract | Healthcare | Outside IR35 | £700 - £800 per day
We’re looking for an AI Enablement Lead to drive practical AI adoption, capability building and business transformation across a UK software product organisation within a HealthTech business.
You’ll work closely with engineering, product, customer-facing and operational teams to identify high-value AI opportunities, improve productivity and embed safe, repeatable AI-enabled ways of working across the product development lifecycle.
What you’ll be doing
- Drive adoption of approved AI tools and AI-centric ways of working across UK product teams.
- Embed with teams to build practical capability and help people use AI effectively in their day-to-day work.
- Support AI-assisted software delivery, including the use of copilots, agents, LLMs and shared AI tooling.
- Help teams develop product-specific AI context and improve practices across the end-to-end product development lifecycle.
- Create lightweight standards, playbooks and governance that enable safe, practical adoption.
- Demonstrate measurable improvements in productivity, efficiency and employee confidence.
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What success looks like after 12 months
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- AI is embedded into everyday product team workflows
- Several high-impact AI use cases are live, proven and repeatable.
- Teams have an active champion network and practical support model.
- Adoption, productivity and risk controls are measurable, visible and working effectively.
Your Profile
You may come from a background such as AI transformation, product enablement, product operations, delivery leadership, senior product management or technology leadership.
You’ll ideally have:
- Experience leading AI adoption, digital transformation or technology enablement.
- Hands-on experience with modern AI platforms, copilots, agents and large language models.
- Experience with the Anthropic and/or Microsoft 365 AI ecosystem is particularly relevant.
- Credibility working with executives, engineers, product teams and operational teams.
- Exposure to software engineering, product management or technology leadership.
- Strong facilitation, coaching and communication skills, with an ability to make complex concepts simple.
- A pragmatic, commercially minded approach focused on measurable outcomes.
- The ability to operate in ambiguity and turn successful experiments into repeatable practices.
- Experience in healthcare, health technology or another regulated environment would be advantageous, as would experience measuring AI adoption, productivity improvement and ROI.
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