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.

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

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.

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:

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.

• We are looking for people who can thrive in a fast-moving, AI-enabled, high-trust team environment. The strongest candidates will be:

Comfortable with ambiguity and able to create structure without waiting for perfect framing.

Curious, self-directed, and able to learn new domains quickly.

Collaborative and team-oriented, with a willingness to build on others’ ideas and adapt when evidence changes.

Confident giving and receiving constructive feedback across all levels.

Resilient under pace, feedback, uncertainty, and changing priorities.

Strong communicators who can explain decisions, trade-offs, and risks clearly.

Evidence-led rather than opinion-led.

Risk-aware without being risk-averse.

Excited by continuous learning and willing to help others develop.

Comfortable operating across product, design, AI, data, engineering, risk, and business strategy.

Experience building or scaling AI-enabled products, internal platforms, workflow tools, agents, or automation capabilities.

Experience with AI product evaluation, model performance, responsible AI, prompt design, RAG, knowledge graphs, or agent orchestration.

Experience in financial services, capital markets, asset servicing, banking, payments, operations, risk, compliance, or data-intensive enterprise environments.

Experience working in innovation, venture-building, consulting, transformation, or emerging technology teams.

Product certifications, agile certifications, AI specialisations, or advanced degrees are helpful but not required where equivalent experience is demonstrated.

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

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Here’s a few of our recent awards:

• America’s Most Innovative Companies, Fortune, 2025
• World’s Most Admired Companies, Fortune 2025
• “Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.