Job Description

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).

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 solutions

• Strong product delivery, prioritization, and stakeholder management skills

• Bachelor's degree in STEM or related discipline

Preferred

• Experience implementing LLM-based solutions or intelligent automation platforms

• Familiarity with AI lifecycle management, model monitoring, and observability tools

• Experience working in regulated or enterprise environments

• Certifications: CSPO, A-CSPO, SAFe POPM, CSM, AWS Cloud Practitioner, Generative AI specialization.

• Advanced degree preferred

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn

Here’s a few of our recent awards:

• America’s Most Innovative Companies, Fortune, 2025

• World’s Most Admired Companies, Fortune 2025

• “Most Just Companies”, Just Capital and CNBC, 2025

Our 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 reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $104,000 and $253,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.

This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.