Senior Vice President, Product Owner - Data Products

We’re seeking a future team member for the role of Senior Vice President, Product Owner – Data Products to join our Data & Analytics team. This role is located in Boston, MA. In this role, you’ll make an impact in the following ways:

• Direct the onboarding and ongoing delivery of data solutions for institutional clients, serving as a senior subject-matter expert and ensuring that data 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 multiple sets of investment data, aligned with enterprise data standards and designed to support scalable, multi-client delivery.
• Transform long-standing manual operations through AI, automation, low-code capabilities, and structured analysis, introducing greater transparency, earlier issue detection, repeatable controls, and more efficient client onboarding and 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 multiple lines of business
• Lead the operating model and day-to-day execution for our data management and data distribution capabilities, working across Product, Data Operations, Engineering, Cloud Operations, Implementation, and Support.

• Significant experience in investment data, asset servicing, or financial-services data operations, with strong knowledge of custody, fund accounting, middle-office, data taxonomy, semantic models, data quality, and client-data delivery.
• Demonstrated product and operational leadership, including the ability to define operating models, manage complex cross-functional dependencies, prioritize competing client needs, and convert recurring operational challenges into durable, scalable solutions.
• Strong communication and stakeholder-management skills, with the ability to raise risks and blockers early, present clear options and recommendations, manage commitments and deadlines, and influence senior business, technology, and operational partners.
• Practical experience applying AI, automation, analytics, and programmatic approaches to data-intensive workflows, combined with a strong risk-and-control mindset and the ability to lead, coach, and delegate effectively across teams with varying levels of experience.