Director, POM Product Management

BNY MellonNew York, NY
$130,000 - $250,000Onsite

About The Position

We’re seeking a future team member for the role of Director, POM Product Management to join our AI Hub team. This role is located in New York City, NY. In this role, you’ll make an impact by partnering with business and technology stakeholders to define, prioritize, and deliver high-impact AI/ML products that address complex business challenges and drive measurable outcomes. You will own the AI product strategy, vision, and roadmap, ensuring alignment with business objectives, enterprise architecture, and long-term scalability. You will lead the end-to-end AI product lifecycle, from ideation and requirements gathering through development, deployment, adoption, and continuous improvement. You will define product requirements, create user stories, prioritize backlogs, and guide cross-functional teams in delivering well-designed, efficient, and scalable AI solutions. You will identify, evaluate, and prioritize AI opportunities that maximize business value, mitigate risk, and support enterprise growth objectives. You will collaborate with data, engineering, and business teams to ensure seamless integration of AI solutions with enterprise platforms, data systems, and workflows. You will analyze market trends, emerging technologies, and competitive developments to inform product strategy and innovation opportunities. You will establish and monitor key performance indicators (KPIs) and success metrics to measure product adoption, business impact, and return on investment. You will provide thought leadership and strategic guidance on AI capabilities, opportunities, risks, and best practices across the organization. You will ensure AI products comply with security, privacy, governance, and responsible AI standards. You will champion innovation by identifying and advancing creative applications of AI that enhance business performance and customer outcomes. You will communicate AI product vision, strategy, and value propositions to senior leaders and stakeholders through compelling presentations and recommendations. You will lead product reviews, demonstrations, and stakeholder engagements to drive alignment and transparency throughout the development process. You will mentor and develop product managers and team members, fostering a culture of collaboration, continuous learning, and AI-driven innovation. You will influence enterprise-wide AI strategy and contribute to the achievement of organizational AI and digital transformation objectives.

Requirements

  • Bachelor's degree in business management, Finance or a related discipline, or equivalent work experience required.
  • At least 10-12 years of demonstrated ability in product development and delivery with proven track record in defining winning product constructs and delivering a product roadmap.
  • Deep understanding of AI/ML technologies, their business applications, and the ability to translate complex technical concepts into business value.
  • Proven track record of successfully launching AI products that have delivered significant commercial impact and ROI.
  • Strong experience in agile methodologies and product development lifecycles.
  • Demonstrated ability to work cross-functionally with data science teams, engineers, and business stakeholders.
  • Excellent communication and presentation skills, with the ability to articulate AI product vision and value to both technical and non-technical audiences.
  • Experience in defining and tracking product metrics, conducting market research, and performing competitive analysis in the AI space.
  • Proven ability to prioritize and make data-driven decisions in a fast-paced environment.
  • Strong leadership skills with experience in mentoring and developing team members.

Nice To Haves

  • Advanced degree is beneficial.
  • MBA or product management certification is a plus.
  • Prior working experience in a financial industry preferred.

Responsibilities

  • Partner with business and technology stakeholders to define, prioritize, and deliver high-impact AI/ML products that address complex business challenges and drive measurable outcomes.
  • Own the AI product strategy, vision, and roadmap, ensuring alignment with business objectives, enterprise architecture, and long-term scalability.
  • Lead the end-to-end AI product lifecycle, from ideation and requirements gathering through development, deployment, adoption, and continuous improvement.
  • Define product requirements, create user stories, prioritize backlogs, and guide cross-functional teams in delivering well-designed, efficient, and scalable AI solutions.
  • Identify, evaluate, and prioritize AI opportunities that maximize business value, mitigate risk, and support enterprise growth objectives.
  • Collaborate with data, engineering, and business teams to ensure seamless integration of AI solutions with enterprise platforms, data systems, and workflows.
  • Analyze market trends, emerging technologies, and competitive developments to inform product strategy and innovation opportunities.
  • Establish and monitor key performance indicators (KPIs) and success metrics to measure product adoption, business impact, and return on investment.
  • Provide thought leadership and strategic guidance on AI capabilities, opportunities, risks, and best practices across the organization.
  • Ensure AI products comply with security, privacy, governance, and responsible AI standards.
  • Champion innovation by identifying and advancing creative applications of AI that enhance business performance and customer outcomes.
  • Communicate AI product vision, strategy, and value propositions to senior leaders and stakeholders through compelling presentations and recommendations.
  • Lead product reviews, demonstrations, and stakeholder engagements to drive alignment and transparency throughout the development process.
  • Mentor and develop product managers and team members, fostering a culture of collaboration, continuous learning, and AI-driven innovation.
  • Influence enterprise-wide AI strategy and contribute to the achievement of organizational AI and digital transformation objectives.

Benefits

  • Highly competitive compensation
  • Benefits and wellbeing programs
  • Access to flexible global resources and tools
  • Generous paid leaves, including paid volunteer time
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