VP, Applied AI Product Leader — Enterprise Automation

BNY; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation

401(k) plan

Comprehensive benefits

Paid time off

Job summary

BNY seeks a Vice President, Applied AI Product Manager to lead the design, development, and delivery of AI-powered solutions across enterprise workflows. You will collaborate with product, engineering, and business teams to operationalize AI capabilities at scale.

The role emphasizes delivery, governance, and stakeholder alignment to drive measurable improvements in efficiency, risk reduction, and client outcomes within a financial services context in New York.

Qualifications

• 5-10 years of experience in Applied AI product management or enterprise software delivery.
• 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.

Responsibilities

• Own development and execution of AI-driven products that modernize business processes.
• Partner with engineering, data science, and business stakeholders to translate operational challenges into AI-enabled solutions.
• Translate business needs into product requirements, backlog priorities, and release plans.
• Measure impact with product-level metrics like automation adoption and user engagement.

Skills

Applied AI product management

AI-enabled product development

Enterprise software delivery

Product strategy & roadmap

Stakeholder management

Education

Bachelor's degree in STEM

Advanced degree preferred

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

Tools

APIs

Microservices

Distributed systems

Job description

BNY seeks a Vice President, Applied AI Product Manager to lead the design, development, and delivery of AI-powered solutions across enterprise workflows. You will collaborate with product, engineering, and business teams to operationalize AI capabilities at scale.

The role emphasizes delivery, governance, and stakeholder alignment to drive measurable improvements in efficiency, risk reduction, and client outcomes within a financial services context in New York.