Director, Applied AI Product Manager

BNY Mellon•New York, NY

3d•Onsite

About The Position

BNY is seeking a Director, Applied AI Product Manager to join its Innovation Team and lead AI-driven business transformation initiatives across the bank. The role defines and drives strategy for AI-powered process transformation, leading cross-functional teams to design, build, and scale agentic and intelligent automation solutions that reduce risk, improve operational efficiency, and enhance client experiences. It operates across Product, Engineering, Data Science, Operations, Risk, and Compliance to deliver solutions that are secure, explainable, scalable, and production-ready. The Director owns product vision, strategy, and roadmaps for AI-driven business process transformation, including client-segment strategies, market and competitive analysis, pricing, commercialization, go-to-market, and revenue and organic-growth objectives. The role identifies opportunities for AI, intelligent automation, LLMs, and agentic architectures; turns complex business problems into clear product tenets and execution plans; and champions an AI-first mindset and experimentation. The position oversees AI-native process reimagination and orchestration frameworks, balancing innovation with enterprise reliability and governance. In partnership with Engineering and Data Science, the Director operationalizes AI at scale through model lifecycle management, observability, guardrails, and performance optimization, while ensuring responsible AI practices addressing bias, explainability, privacy, data security, and operational resilience. The role influences senior executives on investment prioritization and adoption, leads a high-performing product team, drives change management, and coordinates delivery across concurrent workstreams. It also aligns AI strategies with enterprise objectives, establishes feedback mechanisms, and enables adoption through playbooks and governance frameworks. Success is measured through portfolio integration and scorecards, productivity and efficiency gains, cost savings, automation impact, risk and compliance improvements, and client experience and engagement growth. The position is located in New York, NY, with four days per week in the office.

Requirements

Bachelor's degree in STEM, Economics, or a related discipline.
Approximately 10 or more years of progressive experience in Applied AI product management, program leadership, or AI-driven platform delivery.
Strong understanding of generative AI and LLM-powered systems.
Strong understanding of agentic architectures and orchestration frameworks.
Strong understanding of distributed systems and microservices.
Strong understanding of event-driven design, APIs, and integration layers.
Strong understanding of metadata indexing and retrieval systems.
Strong understanding of AI lifecycle management and model performance metrics.
Experience operationalizing enterprise-grade AI systems with secure tenant-aware access controls, observability and telemetry, and production reliability standards.
Demonstrated ability to influence senior leadership and drive alignment across large organizations.

Nice To Haves

Experience in highly regulated industries.
Experience operationalizing AI solutions for Big Tech or Fortune 500 enterprises.
Certifications such as CSPO, A-CSPO, SAFe POPM, CSM, AWS Cloud Practitioner, or a Generative AI specialization.
Advanced degree.

Responsibilities

Define and own the product vision, strategy, and roadmap for AI-driven business process transformation with key business stakeholders.
Develop client-segment strategies and conduct market and competitive analysis; oversee pricing, commercialization, go-to-market, and revenue and organic-growth objectives.
Align roadmap priorities with enterprise modernization, AI strategy, and operational-efficiency objectives.
Identify high-value opportunities for AI, intelligent automation, LLMs, and agentic architectures to eliminate manual workflows and improve decision intelligence.
Translate complex business problems into product tenets, PR/FAQs, and scalable execution plans; promote AI-first product thinking and experimentation.
Oversee orchestration frameworks involving event-driven architecture, APIs and microservices, workflow engines and state management, metadata-aware retrieval systems, and multi-agent coordination models.
Partner with Engineering and Data Science to operationalize AI at scale, including model lifecycle management, observability, guardrails, and performance optimization.
Ensure responsible AI governance, including attention to bias, explainability, privacy, data security, and operational resilience.
Influence senior executives on investment prioritization and enterprise adoption; communicate AI concepts through clear, outcome-driven narratives and executive storytelling.
Lead a high-performing product team, remove blockers, align stakeholders, and ensure value delivery across concurrent workstreams.
Align AI strategies with business objectives and coordinate across product, design, engineering, and commercial practices to communicate vision, progress, and impact to leadership.
Drive field-to-product feedback mechanisms and enable adoption through playbooks, governance frameworks, and change management.
Define and track success metrics, including portfolio integration, trade-off decisions, scorecards and checkpoints, productivity gains, cost savings, automation impact, risk mitigation, compliance enhancements, and client outcomes.
Demonstrate measurable business impact through scalable AI platforms and intelligent workflow transformation.