Director, Applied AI Product Manager

Director, Applied AI Product Manager

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting‑edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

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

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 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.

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…