At a Glance
- Tasks: Lead AI product strategy and development, transforming complex challenges into innovative solutions.
- Company: Join BNY, a top global financial services firm driving innovation with cutting-edge AI technology.
- Benefits: Enjoy competitive pay, flexible resources, generous leave, and a focus on your wellbeing.
- Other info: Thriving culture of trust, continuous learning, and opportunities for career growth.
- Why this job: Be part of a dynamic team shaping the future of finance through AI and technology.
- Qualifications: Experience in AI product management and strong collaboration skills are essential.
The predicted salary is between 80000 - 100000 £ per year.
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.
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.
Our Awards: America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
Director, Applied AI Product Manager employer: BNY Mellon
At BNY, we pride ourselves on fostering a culture of innovation and collaboration, making it an exceptional place for professionals in the financial services sector. Located in London, our team enjoys access to cutting-edge technology and a commitment to employee growth through mentorship and continuous learning opportunities. With competitive compensation, generous benefits, and a focus on work-life balance, BNY is dedicated to empowering its employees to thrive while driving transformative solutions that impact communities worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Director, Applied AI Product Manager
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like BNY Mellon. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Director, Applied AI Product Manager
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to BNY Mellon.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on BNY Mellon's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at BNY Mellon
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with BNY Mellon.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at BNY Mellon will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former BNY Mellon employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
