Senior Vice President, Product Owner - Data Products

BNY Mellon•Boston, MA

4h•$104,000 - $200,000•Onsite

About The Position

BNY is seeking a Senior Vice President, Product Owner – Data Products to join its Data & Analytics team in Boston, Massachusetts. The role leads the operating model and day-to-day execution of data management and data distribution capabilities, working across Product, Data Operations, Engineering, Cloud Operations, Implementation, and Support. The role oversees institutional-client data solution onboarding and ongoing delivery, ensuring data pipelines, controls, taxonomy, content hydration, and operational processes meet client commitments and service expectations. It also advances a unified semantic model and governed taxonomy across investment data, and helps transform manual operations using AI, automation, low-code capabilities, and structured analysis. The successful candidate will help build and lead a scalable team, develop junior colleagues, delegate recurring product and operational work, document institutional knowledge, and strengthen partnerships across business lines. BNY offers competitive compensation and benefits and describes its culture as focused on innovation, collaboration, and employee growth.

Requirements

Significant experience in investment data, asset servicing, or financial-services data operations.
Strong knowledge of custody, fund accounting, middle-office, data taxonomy, semantic models, data quality, and client-data delivery.
Demonstrated product and operational leadership, including defining operating models, managing complex cross-functional dependencies, prioritizing competing client needs, and turning recurring operational challenges into scalable solutions.
Strong communication and stakeholder-management skills, including raising risks and blockers early, presenting clear options and recommendations, managing commitments and deadlines, and influencing senior business, technology, and operational partners.
Practical experience applying AI, automation, analytics, and programmatic approaches to data-intensive workflows.
Strong risk-and-control mindset.
Ability to lead, coach, and delegate effectively across teams with varying levels of experience.

Responsibilities

Direct onboarding and ongoing delivery of data solutions for institutional clients, ensuring data pipelines, controls, taxonomy, content hydration, and operational processes meet client commitments and service expectations.
Serve as a senior subject-matter expert for institutional-client data delivery.
Collaborate in defining and advancing a unified semantic model and governed taxonomy across investment data, aligned with enterprise data standards and scalable for multiple clients.
Transform manual operations using AI, automation, low-code capabilities, and structured analysis to improve transparency, issue detection, repeatable controls, onboarding, and support.
Help build and lead a scalable team by developing junior resources, delegating business-as-usual product ownership and operational activities, and documenting institutional knowledge.
Strengthen partnerships across multiple lines of business.
Lead the operating model and day-to-day execution for data management and data distribution capabilities.
Work across Product, Data Operations, Engineering, Cloud Operations, Implementation, and Support.

Benefits

Competitive compensation
Benefits and wellbeing programs
Flexible global resources and tools
Generous paid leaves, including paid volunteer time
401(k) plan, for eligible employees
Medical insurance, for eligible employees and eligible dependents
Dental insurance, for eligible employees and eligible dependents
Vision insurance, for eligible employees and eligible dependents
Basic life insurance, for eligible employees and eligible dependents
Paid time off benefits, including vacation and sick time, dependent on the position