AI Product Lead - Private Bank, London - TWE 46830

We’re partnering with a leading UK financial services organisation that is embarking on an ambitious, organisation wide AI transformation.

With strong executive sponsorship, highly engaged stakeholders and a growing pipeline of AI opportunities, they are looking for an AI Product Lead to take on a newly created role in shaping how AI is adopted across the organisation.

This is a broad, strategic role spanning AI discovery, product strategy, roadmap development, governance and delivery. You won’t be expected to build models yourself. Instead, you’ll identify where AI can create genuine business value, translate opportunities into credible solutions and provide the strategic discipline needed to turn ideas into an executable roadmap.

The Role
Your initial priority will be to develop a business wide AI opportunity roadmap.

You’ll run discovery workshops with teams across the organisation, getting under the skin of existing processes and challenges before identifying where AI could genuinely improve customer outcomes, colleague productivity or operational efficiency.

From there, you’ll assess opportunities against value, feasibility and strategic fit, creating a clear Now / Next / Future roadmap and helping take the strongest opportunities through to delivery.

Responsibilities include:
Lead AI discovery workshops and use-case identification across multiple business areas.
Translate complex business processes into credible AI opportunities.
Prioritise opportunities based on value, feasibility and strategic importance.
Build and communicate an organisation-wide AI roadmap.
Develop business cases, size benefits and track value through to realisation.
Oversee AI initiatives as they progress from discovery into delivery.
Work closely with AI engineers, delivery teams and senior business stakeholders.
Embed AI governance and responsible-AI principles throughout the delivery lifecycle.
Manage AI-related risks within a highly regulated environment.
Champion AI adoption and build understanding of both the potential and limitations of the technology.
Keep abreast of emerging AI capabilities and identify where they could create competitive advantage.

The underlying remit is focused heavily on measurable business value, governance by design, cross-functional collaboration and the development of a strategic AI roadmap.

Candidate profile
The position will required a combination of strategic thinking, excellent stakeholder skills and genuine AI fluency.

You should be comfortable discussing concepts such as RAG, NLP, generative AI and Copilot, understanding when different approaches are appropriate and translating technical possibilities into language that senior non-technical stakeholders can understand.

The role requires:
Experience within AI product management, product ownership, AI strategy or technology transformation.
Strong knowledge of AI concepts, techniques and common enterprise use cases.
The ability to identify, shape and prioritise AI opportunities rather than simply manage an existing backlog.
Excellent facilitation, presentation and senior stakeholder influencing skills.
Strong commercial thinking and an ability to assess opportunities based on potential value.
Experience working within a regulated environment.
Exposure to AI governance, responsible AI or related risk frameworks.
The confidence to operate independently and bring structure to an ambiguous, rapidly developing area.

The formal specification particularly emphasises AI knowledge alongside senior stakeholder communication and influencing, with AI governance, benefits sizing, data architecture and technology-platform knowledge also valued.

A background in consulting, financial services, fintech or SaaS could all work particularly well. Previous financial-services experience would be advantageous but isn't essential.

Likewise, previous people-management experience is not a prerequisite. This could be a strong opportunity for someone ready to step into a broader AI leadership position.

If you’re at your best taking ambiguous business problems, bringing structure to them and translating AI's potential into a credible, prioritised and commercially valuable roadmap, this is an opportunity to play a defining role in an organisation’s AI transformation.