At a Glance
- Tasks: Lead the delivery of innovative AI products and transform workflows in a dynamic environment.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on mentorship and continuous improvement.
- Why this job: Make a real impact by shaping the future of AI in enterprise solutions.
- Qualifications: Strong background in product management and AI-enabled product delivery required.
The predicted salary is between 60000 - 80000 £ per year.
- Description
- We’re seeking a future team member for the role of
- Senior Vice President, AI Product Manager to join our
- EMEA Innovation team. This role is located in
London, UK.
In this role, you’ll make an impact in the following ways
- Product delivery and execution
- Translate business needs, discovery findings, and stakeholder priorities into product requirements, backlog priorities, delivery plans, and release scopes.
- Support the delivery of AI-enabled products, agent-enabled workflows, intelligent automation capabilities, and decision-support tools.
- Work with product, design, AI, data, engineering, risk, and business teams to move opportunities from concept to prototype, MVP, pilot, or handoff.
- Coordinate across teams to remove blockers, manage dependencies, clarify decisions, and maintain delivery momentum.
- Ensure product artefacts are clear, actionable, and suitable for technical, business, risk, and executive audiences.
- AI-enabled workflow transformation
- Identify opportunities for AI-enabled automation, augmentation, workflow redesign, and decision intelligence within specific business domains.
- Partner with designers to convert journey maps, pain points, service blueprints, and discovery insights into practical product opportunities.
- Work with AI and engineering partners to shape early solution concepts, prompts, data needs, workflow logic, user interactions, and operating requirements.
- Use approved AI tools responsibly to accelerate synthesis, requirements development, prototyping, testing, and decision support.
- Evaluate AI outputs critically and help the team understand limitations, risk, quality, and suitability for enterprise use.
- Responsible delivery and measurement
- Define and track product-level metrics such as adoption, time saved, workflow efficiency, risk reduction, user satisfaction, decision quality, or operational impact.
- Ensure responsible AI, data handling, privacy, control, compliance, and operational resilience considerations are raised early and built into solution design.
- Support testing, feedback loops, adoption planning, and continuous improvement.
- Help create decision-ready materials for senior stakeholders, including product narratives, roadmap views, status updates, and handoff packs.
- Collaboration and team contribution
- Work fluidly across product, design, engineering, AI, data, business, risk, and engagement disciplines.
- Support a culture of fast feedback, open challenge, shared learning, and high accountability.
- Collaborate closely with engagement leads and analysts to ensure project rhythm, follow-up, decisions, and documentation are maintained.
- Mentor junior colleagues and contribute to reusable product, AI, and delivery practices across the team.
- Help build product capability maturity in the EMEA Innovation function.
To be successful in this role, we’re seeking the following
- Required experience and skills
- Strong experience in product management, AI-enabled product delivery, enterprise software delivery, digital transformation, intelligent automation, or workflow product development.
- Understanding of generative AI, LLM-enabled systems, intelligent automation, agent-enabled workflows, and AI-powered product capabilities.
- Experience translating complex business problems into requirements, backlogs, prototypes, user stories, roadmaps, or delivery scopes.
- Experience working with engineering, AI, data science, design, platform, or business teams to deliver product solutions.
- Familiarity with enterprise technology concepts such as APIs, workflows, data flows, permissions, integrations, microservices, observability, and production-readiness.
- Strong delivery discipline, prioritisation, stakeholder management, and communication skills.
- Ability to work in complex, regulated, or highly governed environments.
- Ability to measure product outcomes and iterate based on evidence.
- Behavioural attributes
We are looking for people who combine delivery strength with adaptability, judgment, and trust. The strongest candidates will be:
- Comfortable working in ambiguous situations where the problem, owner, or solution path may still be forming.
- Highly collaborative and able to work across disciplines without protecting narrow role boundaries.
- Low ego, team-first, and willing to improve ideas regardless of who originated them.
- Open to direct feedback and able to challenge others constructively.
- Resilient when work changes direction or early ideas do not survive testing.
- Curious and self-directed, with a strong appetite to learn new domains and technologies.
- Strong at creating clarity, structure, and momentum.
- Risk-aware, responsible, and thoughtful about the implications of AI in enterprise workflows.
- Able to communicate complexity simply and support decisions with evidence.
- Motivated by measurable outcomes rather than activity alone.
- Preferred experience
- Experience implementing LLM-based solutions, workflow automation, agentic products, internal platforms, or AI-enabled enterprise tools.
- Experience with prompt design, AI output evaluation, responsible AI practices, model monitoring, observability, or data-driven experimentation.
- Experience in financial services, banking, asset servicing, payments, operations, capital markets, risk, compliance, or data-intensive enterprise environments.
- Experience in innovation, transformation, consulting, product operations, or emerging technology teams.
- Product, agile, cloud, AI, or delivery certifications are helpful but not required where equivalent experience is demonstrated.
- Success in this role
Success will be measured by your ability to help the team turn high-potential opportunities into clear, practical, measurable, and responsibly delivered AI-enabled products or workflow solutions.
You will bring pace, structure, collaboration, and judgment to complex work, helping BNY transform how work gets done.
Senior Vice President, Applied AI Product Manager in London employer: BNY Mellon
At BNY Mellon, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Manchester. Our commitment to employee growth is evident through comprehensive training programs and career advancement opportunities, alongside competitive compensation and benefits that ensure our team members feel valued and supported in their professional journeys.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Vice President, Applied AI Product Manager in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like BNY Mellon!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at BNY Mellon would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at BNY Mellon through your school's career services!
We think you need these skills to ace Senior Vice President, Applied AI Product Manager in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Senior Vice President, Applied AI Product Manager, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Senior Vice President, Applied AI Product Manager position at BNY Mellon. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at BNY Mellon
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
