Director, Applied AI Product Manager

Salary: £39,000 - 79,000 per year

• 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.

• 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.
• 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.
• 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.

• AI
• Embedded
• Support
• LLM
• Product Manager
• Security

More:

We are BNY, a leading global financial services company at the heart of the global financial system, influencing nearly 20% of the worlds investible assets. We are seeking a Director, Applied AI Product Manager to join our EMEA Innovation team in London, UK. Our culture helps us run our company better and supports employee growth and success, and we are recognized as a top destination for innovators where bold ideas meet advanced technology and exceptional talent. We offer highly competitive compensation, benefits, and wellbeing programs, access to flexible global resources and tools, generous paid leaves including paid volunteer time, and a strong pay-for-performance philosophy. We are an equal employment opportunity and affirmative action employer.

last updated 36 week of 2026