Vice President, POM Product Owner

BNY MellonPittsburgh, NJ
1d$68,000 - $155,000

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, Product Owner to join our Wealth Services Platform team. In this role, as part of BNY Pershing’s Wealth Services Data Group, you’ll own, design, develop and manage the end-to-end lifecycle of data products and data platforms that enable scalable, secure, and insightful services for our clients. This role is located in New York, NY or in Jersey City, NJ. In this role, you’ll make an impact in the following ways: Drive the vision, strategy, and execution of data-centric products that empower financial advisors and institutional clients.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Business, or related field; advanced degree preferred.
  • 5+ years of experience in product ownership, with strongly preferred background in data-related products in the financial services or financial technology domain.
  • 3+ years of experience in financial services industry.
  • Strategic mindset with the ability to translate business needs into technical solutions.
  • Proficiency in data platforms (e.g., Snowflake, Azure, AWS), data pipelines, and cloud technologies.
  • Familiarity with programming languages such as Python, SQL, or equivalent for data manipulation and analysis.
  • Understanding of data governance, privacy, and industry best practices in financial services.
  • Experience with agile methodologies, product management tools (e.g., Jira, Confluence), and data visualization platforms.
  • Exceptional communication and stakeholder management skills.
  • Curiosity and drive for continuous learning and improvement.
  • Possesses a “get-it-done” attitude – ability to get around roadblocks and stay focused on the vision.
  • Organized, resourceful, and able to prioritize tasks.
  • Interested in constantly learning new tools and technologies and a passion to share your knowledge with the team.

Nice To Haves

  • Relevant certifications (e.g., Scrum Product Owner (CSPO), Agile) are highly valued.

Responsibilities

  • Define product vision, strategy, and roadmap spanning across party and account reference data, reporting, securities data and a gamut of data products/services in alignment with business goals and stakeholder needs.
  • Foster cross-functional collaboration and ensure delivery of high-impact solutions aligned with business objectives and client needs.
  • Manage prioritize product backlog, collaborating with stakeholders to gather requirements, and working closely with development team to ensure the successful delivery of the product.
  • Write specs for minor features and contribute meaningfully to major features.
  • Negotiate the implementation of current work, make the right trade-off decisions to launch products in a high-quality manner. Escalating to management as necessary.
  • Identify and triage issues with specific features, whilst understanding how multiple features are interrelated and catch more complex problems.
  • Define proper measurement and instrumentation for a product to analyze results post-release/launch.
  • Partner with manager to make recommendations on the right next steps for the feature.
  • Assess the quality of existing UX to make recommendations on how to improve user experience.
  • Champion technical delivery for data products, e.g. managing integration with cloud platforms, data warehouses, and analytics solutions.
  • Ensure data governance, privacy, and security standards are embedded into product design and delivery.
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