Director, Applied AI Product Manager in London

Director, Applied AI Product Manager

At BNY, a leading global financial services company, we harness cutting‑edge AI and breakthrough technologies to drive transformative solutions that redefine industries and uplift communities worldwide.

Our culture allows employees to grow and succeed while we influence nearly 20% of the world’s investible assets.

Responsibilities

• 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.

Qualifications

• 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.
• 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.

BNY is an Equal Employment Opportunity/Affirmative Action Employer – underrepresented racial and ethnic groups, females, individuals with disabilities and protected veterans.

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