At a Glance
- Tasks: Drive AI product execution and shape AI capabilities for innovative solutions.
- Company: Join BNY's AI Transformation Office, a leader in financial services innovation.
- 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 transformation and make a real impact in finance.
- Qualifications: Experience in AI product management and strong communication skills required.
The predicted salary is between 80000 - 120000 € 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.
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.
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 employer: BNY Mellon
At BNY, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As part of our AI Transformation Office, you will have the opportunity to work at the forefront of AI technology in a dynamic environment that encourages professional growth and development. With a strong focus on employee well-being and a commitment to diversity, we offer a range of benefits and a supportive atmosphere that empowers you to make a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Forward Product Manager — Director, AI Transformation Office
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and product management space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨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 execution and tackled challenges.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and agentic workflows. Be ready to discuss how you've applied these concepts in real-world scenarios – it’ll show you’re not just book-smart!
✨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
Some tips for your application 🫡
Show Your AI Passion:When you're writing your application, let your enthusiasm for AI shine through! We want to see how you connect with the role and why you're excited about driving AI transformation. Share any relevant experiences or projects that highlight your passion.
Tailor Your Application:Make sure to customise your CV and cover letter for this specific role. Highlight your experience in product management, especially in AI or GenAI. We love seeing how your skills align with our needs, so don’t hold back on showcasing your relevant achievements!
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 key skills and experiences stand out – we want to see what makes you a great fit at a glance!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised as we review applications.
How to prepare for a job interview at BNY Mellon
✨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 and how they can create value in product management.
✨Speak the Language of Business and Tech
Since this role sits at the intersection of business, data, and AI engineering, practice articulating complex business requirements in a way that resonates with both technical and non-technical stakeholders. This will show your ability to bridge gaps between teams.
✨Showcase Your Hands-On Experience
Prepare examples from your past roles where you’ve been directly involved in AI product delivery. Highlight specific initiatives you’ve led, focusing on your end-to-end ownership and how you’ve navigated challenges in deployment and iteration.
✨Engage with Stakeholders
Demonstrate your strong communication skills by discussing how you’ve successfully engaged with various stakeholders in previous projects. Share strategies you’ve used for backlog prioritisation and sprint planning, as well as how you’ve validated AI outputs with stakeholders.
