Senior Vice President, Applied AI Product Manager

1w1 week ago

BNY

New York City, US · Full-time · $104,000 – $253,000

About this role

BNY seeks a Senior Vice President, Applied AI Product Manager for the Innovation Team. Drive design, development, and delivery of AI-powered solutions transforming bank operations. Partner closely with product, engineering, and business teams to operationalize AI at enterprise scale.

Lead development and execution of AI-driven products modernizing business processes. Translate operational challenges into AI-enabled features like LLM-powered solutions and agent workflows. Ensure reliable, scalable solutions aligned with enterprise governance standards.

Execute applied AI product roadmap and identify automation opportunities in key domains. Coordinate cross-functional delivery with engineering, data science, and stakeholders. Communicate priorities and remove blockers for successful deployment.

Track metrics on automation adoption, workflow efficiency, and user engagement. Harness cutting-edge AI in a culture of innovators at a top financial services firm. Power the future of finance and uplift communities worldwide.

Requirements

Experience leading AI product strategy and roadmap execution in enterprise environments
Proven ability to translate business needs into AI product requirements and release plans
Background in developing LLM-powered solutions and agent-enabled workflows
Expertise partnering with engineering, data science, and business stakeholders
Track record delivering scalable AI products with governance alignment
Skills in measuring AI impact via adoption, efficiency, and engagement metrics
Knowledge of implementing AI capabilities in business processes at scale

Responsibilities

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
Translate operational challenges into AI-enabled features, automation workflows, or decision-support tools
Lead delivery of specific AI products or capabilities across product, engineering, and data science teams
Coordinate development, testing, and deployment of AI-enabled solutions
Track product-level metrics such as automation adoption, workflow efficiency, and user engagement
Support development of LLM-powered solutions, intelligent automation, and agent-enabled workflows