Senior Vice President, Applied AI Technical Product Manager

BNY Mellon•New York, NY

12h•Hybrid

About The Position

BNY Mellon is seeking a Senior Vice President, Applied AI Technical Product Manager to join its Innovation Team and drive the design, development, and delivery of AI-powered solutions across the bank. The role partners with product, engineering, data science, and business teams to operationalize AI capabilities and deliver intelligent automation platforms at enterprise scale. It is based in New York, NY, with four days per week in the office. The role leads the development and execution of AI-driven products that modernize business processes and enable scalable automation. It translates operational challenges into AI-enabled solutions intended to improve efficiency, reduce risk, and enhance client outcomes. The position focuses on product execution, platform delivery, and adoption, with an emphasis on reliability, scalability, and alignment with enterprise governance standards. The position drives key technical products and solutions, serves as a product-management thought leader, and collaborates with VP Technical Product Managers and Directors to align delivery with technical product strategy. It influences product direction for strategically important, business-critical, or innovative products. The description also includes contributing to product development and strategy, supporting competitive, market, and financial analysis, and applying extensive product-management expertise, strategic vision, operational execution, cross-functional leadership, and influence.

Requirements

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, and 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 a related discipline; the description also specifies a technical-related bachelor’s degree, typically in Engineering or Computer Science, or equivalent work experience.
3–5 years of experience in a technical or engineering role and subject-matter expertise in the technology.
At least 7 years of experience as a technical product manager.
Strong technical experience and ability to communicate and present complex information to technical and non-technical audiences.
Excellent problem-solving capabilities, experience with agile methodologies, and a track record of successful product launches.
Strong project management skills, including the ability to prioritize and manage multiple projects simultaneously.
Deep product-management expertise, excellent leadership skills, and strong business judgment.
Ability to lead complex and strategically important product initiatives, with cross-functional leadership, influence, strategic vision, and operational execution skills.

Nice To Haves

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 such as CSPO, A-CSPO, SAFe POPM, CSM, AWS Cloud Practitioner, or a Generative AI specialization.
Advanced degree preferred.

Responsibilities

Execute the applied AI product roadmap in alignment with 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 teams to refine technical solutions and product features.
Translate operational challenges into AI-enabled features, automation workflows, and decision-support tools.
Support the development of LLM-powered solutions, intelligent automation, and agent-enabled workflows.
Partner with platform teams to implement AI capabilities within existing business processes.
Lead delivery of specific AI products or capabilities across product, engineering, and data science teams.
Coordinate development, testing, and deployment of AI-enabled solutions; remove blockers and maintain alignment across delivery teams.
Engage engineering, data science, and operational stakeholders to deliver product features; communicate requirements, priorities, and delivery progress, and translate technical capabilities into business outcomes.
Track product metrics such as automation adoption, workflow efficiency, and user engagement; use feedback and data to improve product performance.
Drive development of key technical products and solutions with significant impact.
Serve as a thought leader and expert within the technical product management team and across the organization.
Collaborate with VP Technical Product Managers and Directors to align and execute technical product strategy.
Influence strategic product direction, particularly for business-critical or innovative products.
Support more experienced colleagues with competitive, market, and financial analysis of relevant platforms, products, and services.