Senior Vice President, Product Owner - Data Products

BNY Mellon

1d

About The Position

The Senior Vice President, Product Owner – Data Products will join the Data & Analytics team in Boston, MA. This role leads the operating model and day-to-day execution for data management and distribution capabilities, partnering across Product, Data Operations, Engineering, Cloud Operations, Implementation, and Support.

The position oversees 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. It also advances a unified semantic model and governed taxonomy across investment data, aligned with enterprise data standards and designed for scalable, multi-client delivery.

The role transforms manual operations using AI, automation, low-code capabilities, and structured analysis to improve transparency, issue detection, controls, onboarding, and client support. It also helps build and lead a scalable team by developing junior resources, delegating product ownership and operational work, documenting institutional knowledge, and strengthening cross-business partnerships.

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 durable, 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.
• A strong risk-and-control mindset and the ability to lead, coach, and delegate effectively across teams with varying levels of experience.

Responsibilities

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed