Vice President, POM Product Management

BNY MellonJersey City, NJ
$69,000 - $185,000Onsite

About The Position

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We're seeking a future team member for the role of Vice President, POM Product Management to join our Wealth Services Platform team. This role is located in Jersey City, NJ.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Business, Finance, or a related field, or equivalent combination of education and experience.
  • 3 to 5 years of experience in product ownership, product management, business analysis, or related roles.
  • Experience working in an Agile delivery environment, including backlog management, sprint planning, and story refinement.
  • Strong analytical, problem-solving, and prioritization skills.
  • Strong communication and stakeholder management skills, with the ability to work across business and technology teams.
  • Experience working with tools such as Jira, Confluence, Excel, PowerPoint, and Word.
  • Experience supporting data products, data platforms, or data-driven capabilities.
  • Background in financial services, wealth management, fintech, or a related domain.
  • Familiarity with data architecture, data flows, and integration concepts.
  • Understanding of data governance, privacy, and controls in regulated environments.
  • Client- and outcome-focused, with a strong sense of ownership.
  • Comfortable operating across business and technical teams.
  • Skilled at simplifying complex topics and driving alignment.
  • Pragmatic in balancing strategic direction with timely execution.

Nice To Haves

  • Exposure to cloud and data technologies such as Snowflake, AWS, Azure, SQL, or Python.
  • Relevant Agile or Product Owner certifications (e.g., CSPO).

Responsibilities

  • Own and prioritize the product backlog for Wealth Data products and capabilities, ensuring alignment with business goals and client needs.
  • Translate business problems, customer needs, and strategic objectives into clear user stories, requirements, and acceptance criteria.
  • Create and maintain a product roadmap for assigned data initiatives or pods.
  • Conduct or participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and execution reviews.
  • Provide timely clarification to development teams throughout the sprint lifecycle to support efficient delivery.
  • Review completed work against acceptance criteria and support release readiness activities.
  • Identify, triage, and prioritize defects and issues, balancing speed, quality, and business impact.
  • Support trade-off decisions that enable practical, timely delivery while aligning to broader architectural direction and strategic priorities.
  • Partner cross functionally between Product, Data, Engineering, Design and the business to align teams and ensure consistency in wealth data capabilities and client experience.
  • Support the design and evolution of data-centric products spanning areas such as client, account, reference, reporting, and related wealth data domains.
  • Help ensure that data governance, quality, privacy, and security considerations are embedded into product design and delivery.
  • Use data, metrics, and feedback to inform prioritization and continuous improvement.
  • Define appropriate success measures and support post-release evaluation of product outcomes.
  • Contribute to resilient, scalable, and operationally supportable data solutions.

Benefits

  • Highly competitive compensation
  • Benefits and wellbeing programs
  • Access to flexible global resources and tools
  • Generous paid leaves
  • Paid volunteer time
  • 401(k) plan
  • Company-sponsored medical, dental, vision, and basic life insurance plans
  • Various paid time off benefits, such as vacation and sick time
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