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.
To be successful in this role, we’re seeking the following:
• 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.