Director, Applied AI Product Manager

We're seeking a future team member for the role ofDirector, Applied AI Product Managerto join ourEMEA Innovationteam. This role is located inDublin, Ireland.

Role overview
We are seeking a Director, Applied AI Product Manager to help lead AI-enabled product and workflow transformation across EMEA Innovation.
This role is for a product leader who can move from ambiguity to action: identifying opportunities, shaping product strategy, defining MVPs, working with designers and technical partners, and turning complex business problems into AI-enabled products, prototypes, agents, decision-support tools, or workflow solutions.
You will operate at the intersection of product, design, AI, data, engineering, operations, risk, and business strategy. You will work in small, outcome-focused teams that move quickly, learn continuously, and use AI responsibly to accelerate discovery, solution design, prototyping, and delivery.
Depending on the role alignment, you may focus on business transformation, client and commercial product ventures. In all cases, you will be expected to bring strong product judgment, AI fluency, stakeholder leadership, and the ability to operate in a constantly evolving environment.

What makes this role different

This is not a conventional product management role.
You will not only manage backlogs or write requirements. You will help define how AI changes the way work gets done. You will partner with designers to turn discovery insights into product opportunities, work with AI and engineering partners to shape early prototypes, identify where agentic or AI-enabled solutions can create value, and help ensure those solutions are safe, measurable, governable, and adoptable.
The right candidate will be excited by ambiguity, comfortable switching between strategy and detail, and motivated by the opportunity to build genuine enterprise AI capability in a highly regulated environment.

In this role, you will make an impact by: Product strategy and opportunity framing

• 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 prioritized product opportunities, build paths, or handoff recommendations.

AI-enabled product development

• 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.

Delivery, experimentation, and measurable outcomes

• 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.
• Balance speed with control, ensuring responsible AI, data, compliance, security, operational resilience, and risk considerations are embedded early.
• Create executive-ready narratives, decision packs, and product artefacts that support senior stakeholder alignment.

Stakeholder and team leadership

• Partner with senior stakeholders across business lines, operations, technology, design, risk, compliance, and commercial teams.
• Communicate complex AI and product concepts in clear, practical, outcome-focused language.
• Work fluidly in small multidisciplinary teams, contributing beyond narrow role boundaries while maintaining clear accountability.
• Mentor and support colleagues as the team builds stronger AI product capability.
• Help create a team culture built on trust, constructive challenge, continuous learning, and shared ownership of outcomes.

To be successful in this role, we're seeking the following: Required experience and skills

• 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.

Behavioural attributes

We are looking for people who can thrive