At a Glance
- Tasks: Drive AI-powered solutions and collaborate with stakeholders to create impactful products.
- Company: Join BNY's innovative AI Transformation Office, leading the future of technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and rapid iteration in a fast-paced environment.
- Why this job: Be at the forefront of AI innovation and shape the future of financial services.
- Qualifications: Experience in AI product ownership and strong stakeholder management skills.
The predicted salary is between 80000 - 100000 € per year.
We are looking for a hands-on, AI-forward Product Owner to own and drive delivery of GenAI and agentic automation solutions within BNY's centralized AI Transformation Office, serving Markets and Execution lines of business. This is not a traditional product role. An AI-forward Product Owner understands what LLMs and agentic systems can and cannot do, shapes requirements around those capabilities, and moves at the speed AI enables.
Key Responsibilities:
- Define, prioritize, and own the product backlog for AI-powered solutions across assigned LOBs - with a deep understanding of how GenAI and agentic capabilities translate into business value.
- Partner directly with LOB stakeholders to surface opportunities, validate use cases, and ensure every initiative is commercially grounded and execution-ready.
- Work hands-on with engineering to design AI workflows, evaluate model outputs, and iterate rapidly - not just hand off requirements and wait.
- Drive consistent prioritization and governance across workstreams, ensuring builds are measured, sequenced, and aligned to the office mandate.
- Identify and eliminate duplication across LOB AI efforts, extending and amplifying what already exists rather than rebuilding from scratch.
Required Skills:
- Hands-on experience with LLM-powered products - understanding of model behavior, prompt design, and agentic workflow patterns.
- Strong stakeholder management across complex, matrixed organizations.
- Proficiency with AI productivity tools in day-to-day workflow - Jira, Confluence, and AI-native tooling for analysis, documentation, and ideation.
- Proven ability to translate ambiguous business problems into structured, shippable product requirements.
Preferred:
- Experience with agentic frameworks or workflow automation platforms.
- Familiarity with RAG architectures, vector databases, or LLM evaluation methods.
- Background in financial services - Markets, Execution, or related domains.
- Agile / SAFe delivery experience at scale.
AI-Forward Product Owner — SVP, AI Transformation Office in London employer: BNY Mellon
At BNY, we pride ourselves on being an innovative employer that champions the integration of AI technologies within our dynamic work environment. Our AI Transformation Office fosters a collaborative culture where employees are empowered to drive meaningful change, with ample opportunities for professional growth and development in the rapidly evolving field of AI. Located in a vibrant financial hub, we offer competitive benefits and a commitment to work-life balance, making us an ideal choice for those seeking a rewarding career in the intersection of finance and technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Forward Product Owner — SVP, AI Transformation Office in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those who are already working in AI or product roles. A casual chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with AI products and workflows. Use real examples to demonstrate how you've tackled challenges and delivered value.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and agentic systems. Be ready to discuss how these technologies can drive business value and share your insights on prompt design.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI-Forward Product Owner — SVP, AI Transformation Office in London
Some tips for your application 🫡
Show Your AI Passion:When you're writing your application, let your enthusiasm for AI and GenAI shine through. We want to see how you understand the potential of these technologies and how they can drive business value. Share any relevant experiences that highlight your hands-on work with LLMs or agentic systems.
Tailor Your Experience:Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. We’re looking for someone who can translate complex business problems into actionable product requirements, so highlight any relevant projects where you've done just that.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Use bullet points where possible to make your achievements stand out, especially when discussing your experience with AI tools like Jira and Confluence.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team at StudySmarter.
How to prepare for a job interview at BNY Mellon
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and agentic systems. Be ready to discuss how these technologies can drive business value and share examples of how you've applied them in previous roles.
✨Stakeholder Management is Key
Prepare to talk about your experience working with stakeholders in complex organisations. Think of specific instances where you identified opportunities or validated use cases, and be ready to explain how you ensured initiatives were execution-ready.
✨Hands-On Approach
This role requires a hands-on attitude, so be prepared to discuss how you've worked directly with engineering teams. Share examples of how you've designed workflows, evaluated outputs, and iterated on products quickly.
✨Agile Mindset
Familiarise yourself with Agile and SAFe methodologies, as they are crucial for this position. Be ready to discuss how you've applied these frameworks in your past experiences, especially in relation to AI product delivery.
