AI Enablement Lead

La Fosse; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

La Fosse is seeking an AI Enablement Lead to drive practical AI adoption and capability building across a UK HealthTech software organisation.

You will work with engineering, product, and operations to identify high-value AI opportunities, embed safe, repeatable AI-enabled ways of working, and demonstrate measurable productivity gains through governance and playbooks.

Qualifications

• Experience leading AI adoption, digital transformation or technology enablement.
• Hands-on experience with modern AI platforms, copilots, agents and large language models.
• Credibility working with executives, engineers, product teams and operational teams.
• Exposure to healthcare, health technology or another regulated environment would be advantageous.

Responsibilities

• Drive adoption of 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.
• Support AI-assisted software delivery, including 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 for safe, practical adoption.
• Demonstrate measurable improvements in productivity, efficiency and employee confidence.

Skills

AI adoption leadership

Digital transformation

Technology enablement

Hands-on AI platforms

LLMs / copilots

Anthropic / Microsoft 365 AI

Executive stakeholder management

Communication & coaching

Healthcare / regulated environment

Tools

Anthropic AI ecosystem

Microsoft 365 AI

Job description

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.

What success looks like after 12 months

• 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.