Vice President, Product Designer, AI Hub

BNY•New York, NY

22h•$68,000 - $203,000

About The Position

The way products are built has changed. If you know how an .md file becomes experience design, this role may be for you. 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. As a design leader, you'll shape experiences that influence millions of users worldwide, simplifying complexity and building trust in global finance. 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. Join us and be part of something extraordinary. We're seeking a future team member for the role of Vice President, Product Designer, AI Hub to join our Digital Channels team. This role is based in New York, NY. How we work Design, product, and engineering don't hand off to each other. They co-create. We work from a shared repo that serves as a single source of truth: outcomes, strategy, personas, prototypes, even presentations when we need them. Everything lives in one place and informs everything else in real time. A designer on this team might start the morning synthesizing user research, open a repo, and have a testable concept in front of stakeholders by the afternoon. That's not aspirational. That's how the work moves. How products are created is shifting under our feet, and we are embracing the opportunity and changing quickly. We believe the shifts with AI are enabling us to spend more time on crafting deeply user-centric experiences with deliberate outcomes. When generation handles execution, designers focus on the problem, the user, and the quality of the experience.

Requirements

Strong product design fundamentals: research synthesis, interaction design, systems thinking, visual craft
Experience designing complex systems: enterprise software, multi-step workflows, data-heavy interfaces
Demonstrated comfort working in ambiguous, fast-moving environments where the problem isn't handed to you pre-formed
The ability to communicate design rationale to mixed audiences (product, engineering, business) and hold your perspective under pressure

Nice To Haves

You already work with AI-assisted tools, not just for ideation, but for building and prototyping
You've worked in shared codebases or repos with cross-functional teams, or you're actively moving in that direction
You can describe a moment when AI changed how you approached a design problem, not made it faster, but made it different
You've contributed to a design system at the pattern or systems level, not just component execution
You work at the intersection of design and technical implementation, close to the material, not downstream from it
You've felt the industry shift happening and leaned toward it
Your process produces things, not documents
You have a deep excitement for and understanding of the opportunity that AI creates for design, even if you haven't fully arrived there yet, you're moving fast

Responsibilities

Make complexity clear. Take systems that are genuinely hard: multi-step workflows, cross-platform journeys, enterprise-scale data. Design experiences that make sense to the people who depend on them. Understand the problem at depth before touching anything.
Drive concept development from day one. Bring ideas from research and outcomes to prototyped form fast. Demonstrate possibilities rather than describing them. Use AI-assisted tools to close the distance between design intent and working experience.
Own the design of end-to-end experiences. Map journeys across users, teams, and systems. Identify where things break, where friction accumulates, and what needs to be rebuilt versus refined. Operate across the full scope of a platform experience, not just the screens in front of you.
Contribute to a design system built for how design works now. Our design system is structured as machine-readable infrastructure, not just a component library. Tokens carry semantic meaning. Patterns encode reasoning about when and why they apply. AI agents consume it directly alongside human developers. Contributing here means adding to the grammar, not just the vocabulary, and understanding why that distinction matters.
Communicate design as a point of view, not a deliverable. Articulate the rationale behind decisions. Help product managers and engineers understand the tradeoffs. Make design legible to people who don't speak design, without dumbing it down.
Mentor through example. Raise the standard of work around you through critique, collaboration, and how you approach problems. Not through title.

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