At a Glance
- Tasks: Drive AI product execution and shape AI capabilities in a dynamic environment.
- Company: Join BNY, a leader in financial services with a focus on innovation.
- Benefits: Competitive pay, flexible resources, generous leave, and wellbeing programs.
- Other info: Be part of a diverse team committed to excellence and personal growth.
- Why this job: Make a real impact by leading AI initiatives and transforming business processes.
- Qualifications: Experience with LLMs, strong communication skills, and a knack for translating complex requirements.
The predicted salary is between 80000 - 100000 € 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 role is distinct from a traditional BAU product manager. 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. The role sits at the intersection of business, data, and AI engineering, requiring fluency across all three domains.
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.
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 Skills
- 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.
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 help you reach your financial goals as a valued member of our team. Generous paid leaves—including paid volunteer time—support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer—Underrepresented racial and ethnic groups, Females, Individuals with Disabilities, Protected Veterans.
AI-Forward Product Manager — Director, AI Transformation Office employer: BNY
At BNY, we pride ourselves on being an exceptional employer, particularly for the AI-Forward Product Manager role within our dynamic AI Transformation Office. Our commitment to employee growth is evident through our robust training programmes and a culture that champions innovation and collaboration, all while offering competitive compensation and generous benefits. Located in a vibrant financial services hub, we provide a unique opportunity to work at the forefront of AI technology, ensuring that our team members can thrive both personally and professionally.
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, especially those at BNY. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with AI products. This is your chance to demonstrate how you’ve tackled challenges and delivered results.
✨Tip Number 3
Get ready for the interview! Brush up on your knowledge of LLMs and agentic workflows. Be prepared to discuss how you can apply these concepts to real-world scenarios at BNY.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
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 initiatives. Share any relevant experiences that highlight your passion for AI and product management.
Tailor Your Application:Make sure to customise your application to fit the job description. Highlight your experience with LLMs, prompt engineering, and workflow design. We love seeing candidates who can clearly demonstrate how their skills align with what we're looking for!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your past experiences and how they relate to the role. We appreciate well-structured applications that make it easy for us to see your qualifications 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 shows us you’re serious about joining our team!
How to prepare for a job interview at BNY
✨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 drive product value. This will show that you’re not just familiar with the terms but can engage in meaningful conversations with engineers.
✨Speak Their Language
Since this role sits at the intersection of business, data, and AI engineering, it’s crucial to demonstrate fluency across these domains. Prepare examples of how you've translated complex business requirements into structured AI product specs. This will highlight your ability to bridge the gap between technical and non-technical stakeholders.
✨Showcase Your Hands-On Experience
Be ready to share specific instances where you’ve owned end-to-end product delivery for AI initiatives. Discuss your involvement in defining requirements, validating outputs, and ensuring solutions are fit for purpose. This will illustrate your practical experience and commitment to delivering results.
✨Engage with Stakeholders
Highlight your strong communication skills by preparing to discuss how you’ve engaged with various stakeholders in previous roles. Share examples of how you’ve contributed to backlog prioritisation and sprint planning, as well as how you’ve supported governance and delivery standards. This will demonstrate your collaborative approach and ability to work effectively in a team.
