Senior Vice President, Applied AI Technical Product Manager
bank of new york mellonBrooklyn (NY)
Senior Vice President, Applied AI Technical Product Manager
Posted today
bank of new york mellonBrooklyn (NY)
SENIORITY
Manager
About the role
Overview:
In this role you drive AI-powered product initiatives that modernize enterprise processes and enable scalable automation. You will partner with engineering, data science, and business teams to operationalize AI capabilities and deliver AI platforms at enterprise scale. You translate complex challenges into actionable AI features, align delivery with governance standards, and measure impact through adoption and efficiency metrics. This position offers strategic influence, cross-functional leadership, and the opportunity to shape intelligent automation across the bank. You will work in a collaborative environment that values innovation and responsible AI in financial services. Compensation / Benefits competitive compensation medical, dental, vision, basic life insurance 401(k) with company match generous paid leaves paid volunteer time wellbeing programs
Responsibilities:
Define and 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 Collaborate with engineering and data science to refine solutions and features Lead delivery of AI products across product, engineering, and data science teams Coordinate development, testing, and deployment of AI-enabled solutions Remove blockers and ensure alignment within delivery teams Engage stakeholders to communicate requirements, priorities, and progress Track product-level metrics (automation adoption, workflow efficiency, user engagement) and iterate based on data
Key requirements:
8–10 years of experience in Applied AI product management or enterprise software delivery Strong understanding of AI-powered product capabilities, Generative AI, intelligent automation Experience delivering AI products with engineering and data science teams Knowledge of APIs, microservices, and distributed systems in enterprise architecture 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 cross-functional leadership stakeholder management strong communication AI-powered product capabilities Generative AI Intelligent automation and agent-enabled workflows
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