At a Glance
- Tasks: Drive AI product execution and shape AI capabilities for real business impact.
- Company: Join BNY's innovative AI Transformation Office, leading the future of finance.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration across business, data, and engineering.
- Why this job: Be at the forefront of AI innovation and transform how businesses operate.
- Qualifications: Experience in AI product management and strong communication skills required.
The predicted salary is between 70000 - 90000 £ per year.
We are looking for a hands-on, AI-forward Product Manager to drive day-to-day product execution within BNY's centralized AI Transformation Office, serving Markets and Execution lines of business. This is not a BAU product manager hire. Where a traditional PM manages timelines and stakeholder updates, an AI-forward Product Manager actively shapes how AI capabilities are applied - understanding model behavior, evaluating agentic workflow design, and identifying where LLMs create genuine product value versus where they introduce risk. This role sits at the intersection of business, data, and AI engineering - and requires someone who can operate fluently across all three.
Responsibilities
- Own end-to-end product delivery for assigned AI initiatives - from use case definition through to deployment and iteration.
- Work hands-on with LOB stakeholders and engineering to define requirements, validate AI outputs, and ensure solutions are fit for purpose.
- Contribute to backlog prioritization and sprint planning alongside Product Owners and engineering leads.
- Evaluate and document AI model behavior, edge cases, and failure modes as part of the product definition process.
- Support consistent governance and delivery standards across the AI Transformation Office.
- Vast product management experience, with direct, hands-on involvement in AI or GenAI product delivery.
Required Skills
- Working knowledge of LLMs, prompt engineering, and agentic workflow design - enough to have an informed technical conversation with engineers.
- Experience translating complex business requirements into structured AI product specs.
- Proficiency with AI-native productivity tools across research, documentation, and workflow management.
- Strong communication and stakeholder engagement skills across business and technology teams.
Preferred
- Experience with workflow automation platforms or agentic frameworks.
- Familiarity with RAG pipelines, vector databases, or LLM evaluation approaches.
- Financial services background - Markets, Execution, or related domains.
- Agile delivery experience in a fast-paced, innovation-focused environment.
AI-Forward Product Manager - Director, AI Transformation Office in London employer: Job Search Place Limited
At BNY, we pride ourselves on being an innovative employer that champions the integration of AI into our product management processes. Our collaborative work culture fosters continuous learning and growth, providing employees with unique opportunities to shape the future of financial services through cutting-edge technology. Located in a dynamic environment, we offer competitive benefits and a commitment to professional development, making us an ideal choice for those seeking meaningful and impactful careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Forward Product Manager - Director, AI Transformation Office in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and product management space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your hands-on experience with AI products. This is your chance to demonstrate how you’ve driven product delivery and tackled challenges head-on.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of LLMs and agentic workflow design. We want you to feel confident discussing technical details and how they relate to business needs.
✨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 Manager - Director, AI Transformation Office in London
Some tips for your application 🫡
Show Your AI Passion:Make sure to highlight your enthusiasm for AI in your application. We want to see how you’ve engaged with AI technologies and how they can drive product value. Share specific examples of your hands-on experience with AI or GenAI product delivery.
Tailor Your Application:Don’t just send a generic CV and cover letter! Tailor your application to reflect the skills and experiences mentioned in the job description. We’re looking for someone who understands the intersection of business, data, and AI engineering, so make that clear!
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language to explain your past experiences and how they relate to the role. We appreciate well-structured applications that get straight to the point without unnecessary fluff.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Job Search Place Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, prompt engineering, and agentic workflow design. Be ready to discuss how these concepts apply to real-world scenarios, as you'll need to demonstrate your ability to have informed technical conversations with engineers.
✨Showcase Your Product Management Experience
Prepare specific examples from your past roles where you've successfully managed AI product delivery. Highlight your hands-on involvement in defining requirements, validating outputs, and ensuring solutions are fit for purpose. This will show that you can own end-to-end product delivery.
✨Communicate Like a Pro
Strong communication skills are key in this role. Practice articulating complex business requirements clearly and concisely. Be prepared to engage with both business and technology teams, showcasing your ability to bridge the gap between them.
✨Understand the Governance Standards
Familiarise yourself with the governance and delivery standards expected in an AI Transformation Office. Be ready to discuss how you would support consistent standards across AI initiatives, as this will demonstrate your commitment to quality and compliance.
