Senior Director, Technology Product Management Manager

BNY Mellon•New York, NY
•Hybrid

About The Position

The Senior Director, Applied AI Product Manager will join BNY’s Innovation Team and lead enterprise-scale AI transformation initiatives. The role defines the enterprise product strategy for AI-powered process transformation and oversees a portfolio of platforms and products for intelligent automation, decision intelligence, and AI-native workflows. It works across Product, Engineering, Data Science, Operations, Risk, and Compliance to ensure solutions are scalable, governed, and aligned with enterprise modernization initiatives. The position shapes the long-term strategy for AI-powered platforms and drives adoption of intelligent automation and agentic systems across business domains. It establishes product direction, operating models, governance, and measures of enterprise impact, while aligning AI investments with business strategy and operational outcomes. The role is based in New York, NY, with four days per week in the office.

Requirements

  • 12–15+ years of experience in product management, digital transformation, or enterprise technology leadership.
  • Deep understanding of enterprise AI platforms.
  • Deep understanding of generative AI and LLM-powered systems.
  • Deep understanding of agentic architectures and orchestration frameworks.
  • Deep understanding of distributed systems and microservices.
  • Deep understanding of event-driven design.
  • Deep understanding of APIs and integration layers.
  • Deep understanding of metadata indexing and retrieval systems.
  • Deep understanding of AI lifecycle management and model performance metrics.
  • Experience leading large cross-functional teams and transformation initiatives.
  • Proven ability to define and execute enterprise product strategy.
  • Strong executive communication and stakeholder leadership skills.
  • Experience aligning technology innovation with business strategy and operational outcomes.
  • Bachelor’s degree in STEM or a related discipline.

Nice To Haves

  • Experience leading enterprise AI or agentic transformation programs within highly regulated industries.
  • Experience scaling AI platforms within Fortune 500 or global technology organizations.
  • Familiarity with responsible AI frameworks and enterprise governance models.
  • Certifications such as CSPO, A-CSPO, SAFe POPM, CSM, AWS Cloud Practitioner, or a Generative AI specialization.

Responsibilities

  • Define the enterprise strategy and multi-year roadmap for applied AI products and platforms.
  • Identify and prioritize high-value transformation opportunities across business units.
  • Establish product principles and investment priorities for AI initiatives across the organization.
  • Ensure alignment between AI platform capabilities, enterprise modernization goals, and business strategy.
  • Define how AI platforms reshape enterprise operating models and core business processes.
  • Drive adoption of enterprise-wide AI architecture patterns and reusable automation frameworks.
  • Identify opportunities to scale AI transformation across functions, domains, and platforms.
  • Oversee portfolio-level execution across multiple AI product initiatives.
  • Establish operating models, governance frameworks, and best practices for AI product delivery.
  • Align multiple teams and product leaders to support consistent execution across enterprise initiatives.
  • Engage executive leadership and enterprise decision-makers to define AI investment priorities.
  • Influence enterprise strategy and drive organization-wide AI adoption.
  • Represent AI product strategy in executive forums and transformation programs.
  • Define enterprise-level performance indicators for AI transformation and platform adoption.
  • Evaluate ROI and business impact across the portfolio of AI initiatives and use insights to guide investment and scaling decisions.
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