Senior Director, Technology Product Management Manager

BNY Mellon•New York, NY
•$136,500 - $350,000•Onsite

About The Position

BNY is seeking a Senior Director, Applied AI Product Manager to join its Innovation Team and lead enterprise-scale AI transformation initiatives. The role defines and leads the enterprise product strategy for AI-powered process transformation and oversees a portfolio of platforms and products supporting 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 is located in New York, NY, with four days per week in the office. The role sets the long-term strategy and multi-year roadmap for applied AI products and platforms, identifies high-value transformation opportunities, and establishes product principles and investment priorities. It shapes how AI platforms affect operating models and business processes, promotes reusable architecture and automation frameworks, and oversees execution across multiple initiatives. The leader establishes delivery operating models and governance, aligns teams and product leaders, engages executives on investment priorities, and represents AI product strategy in enterprise forums. The role also defines performance indicators, evaluates portfolio ROI and business impact, and uses those insights to guide investment and scaling decisions.

Requirements

  • 12–15+ years of experience in product management, digital transformation, or enterprise technology leadership.
  • Deep understanding of enterprise AI platforms, generative AI and LLM-powered systems, agentic architectures and orchestration frameworks, distributed systems and microservices, event-driven design, APIs and integration layers, metadata indexing and retrieval systems, and 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.
  • Align AI platform capabilities with enterprise modernization goals and business strategy.
  • Define how AI platforms can 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 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.
  • Use insights to guide strategic investment decisions and scaling priorities.

Benefits

  • Competitive compensation and benefits.
  • Wellbeing programs and flexible global resources and tools.
  • Paid leaves, including paid volunteer time.
  • Potential eligibility for an annual discretionary incentive award.
  • Eligible employees may enroll in a 401(k) plan.
  • Eligible employees may participate in company-sponsored medical, dental, vision, and basic life insurance plans.
  • Other benefits may include vacation and sick time, depending on the position offered.
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