Director, Applied AI Product Manager

We’re seeking a future team member for the role of Director, Applied AI Product Manager to join our EMEA Innovation team. This role is located in London, UK.

In this role, you’ll make an impact in the following ways:

• Define product vision, strategy, and roadmap for AI-enabled transformation opportunities.
• Translate complex business or client problems into clear opportunity statements, product hypotheses, MVP scopes, PRDs, and execution plans.
• Identify high-value opportunities for AI, intelligent automation, LLMs, workflow redesign, decision intelligence, and agentic solutions.
• Partner with business sponsors, designers, AI Hub, engineering, data, risk, and platform teams to shape solutions that are valuable, feasible, usable, and governable.
• Help convert discovery outputs into prioritised product opportunities, build paths, or handoff recommendations.
• Shape AI-enabled workflows, agent concepts, decision-support tools, prototypes, and product solutions.
• Define what should be automated, augmented, escalated, or kept human led.
• Work with technical partners to define orchestration needs, data requirements, permissions, integration considerations, model behaviour, and evaluation needs.
• Use approved AI tools and methods to accelerate research, synthesis, product thinking, requirements development, prototyping, and decision support.
• Critically evaluate AI outputs for quality, accuracy, bias, limitations, risk, and fitness for purpose.
• Lead cross-functional delivery from opportunity framing through prototype, MVP, pilot, or handoff.
• Establish clear success metrics linked to productivity, operational efficiency, risk reduction, adoption, client experience, revenue support, or decision quality.
• Drive fast learning loops through hypothesis testing, experimentation, user feedback, and evidence-based prioritisation.

To be successful in this role, we’re seeking the following:

• Significant experience in AI product management, digital product management, enterprise product development, AI-enabled transformation, or technology-led business change.
• Strong understanding of generative AI, LLM-enabled systems, intelligent automation, agentic workflows, and AI-enabled product capabilities.
• Experience translating complex business problems into product strategies, requirements, roadmaps, prototypes, or delivery plans.
• Ability to work with engineering, data science, AI Hub, design, business, and risk teams to shape practical solutions.
• Strong understanding of enterprise technology concepts such as APIs, workflows, data flows, permissions, integration layers, observability, and production-readiness.
• Experience operating in complex, regulated, or highly governed environments.
• Strong stakeholder management, executive communication, prioritisation, and delivery leadership skills.
• Ability to define and measure outcomes, not just deliver outputs.