Senior Vice President, Product Management
BNY Mellon
- Location
- New York, NY
- Employment
- Full Time
- Work model
- On-Site
- Level
- Staff
- Posted
- Aug 24, 2026
Skills
About this role
Senior Vice President, Applied AI Product Manager
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
We’re seeking a future team member for the role of Senior Vice President, Applied AI Product Manager to join our Innovation Team and drive the design, development, and delivery of AI-powered solutions that transform how work gets done across the bank. This leader will partner closely with product, engineering, and business teams to operationalize AI capabilities and bring intelligent automation platforms to production at enterprise scale.
This role is located in New York, NY (4 days in office per week).
Role Overview
As Senior Vice President, Applied AI Product Manager, you will lead the development and execution of AI-driven products that modernize business processes and enable scalable automation across enterprise functions. You will partner with engineering, data science, and business stakeholders to translate complex operational challenges into AI-enabled solutions that improve efficiency, reduce risk, and enhance client outcomes.
You will focus on product execution, platform delivery, and adoption, ensuring solutions are reliable, scalable, and aligned with enterprise governance standards.
In this role, you’ll make an impact in the following ways:
Product Strategy & Roadmap Execution
Execute the applied AI product roadmap aligned to enterprise AI strategy and platform priorities
Translate business needs into product requirements, backlog priorities, and release plans
Identify opportunities for AI-enabled automation within specific domains or workflows
Work with engineering and data science to refine technical solutions and product features
AI-Powered Process Innovation
Translate operational challenges into AI-enabled features, automation workflows, or decision-support tools
Support development of LLM-powered solutions, intelligent automation, and agent-enabled workflows
Work with platform teams to implement AI capabilities within existing business processes
Execution & Cross-Functional Delivery
Leads delivery of specific AI products or capabilities across product, engineering, and data science teams
Coordinates development, testing, and deployment of AI-enabled solutions
Removes blockers and ensures alignment within product delivery teams
Stakeholder Engagement
Work with engineering, data science, and operational stakeholders to deliver AI product features
Communicate requirements, priorities, and delivery progress
Help translate technical capabilities into practical business outcomes
Impact Measurement
Track product-level metrics such as automation adoption, workflow efficiency, and user engagement
Use feedback and data to iterate and improve AI product performance
To be successful in this role, we’re seeking the following:
Required
8–10 years of experience in Applied AI product management, AI-enabled product development, or enterprise software delivery
Strong understanding of
AI-powered product capabilities
Generative AI
Intelligent automation and agentification
Experience working with engineering and data science teams to deliver applied AI products
Knowledge of enterprise architecture patterns including APIs, microservices, and distributed systems
Ability to translate complex business challenges into scalable technical