Technical Product Manager, Data Strategy

Vanguard is committed to helping clients achieve long-term financial success. As a Technical Product Manager in Data Strategy, you will lead the vision and strategy for data products, ensuring high-quality data accessibility across the organization while collaborating with various teams to improve client outcomes.

Responsibilities:

• Lead the vision, strategy, and roadmap for master and reference data products, with accountability across the full data lifecycle—ingestion, transformation, modeling, orchestration, storage, and consumption
• Partner with data engineering, analytics, infrastructure, governance, and business teams to define and apply best practices for master data management (MDM), reference data management (RDM), data modeling, and data quality
• Use SQL and data profiling techniques to explore data, validate requirements, assess quality, and identify trends or issues that inform priorities and decisions
• Translate business needs into clear, actionable data product requirements, including schemas, hierarchies, transformations, service-level agreements (SLAs), and consumption patterns
• Guide delivery teams on effective data product practices, including backlog structure, dependency management, and outcome-based planning
• Collaborate with engineering and stakeholders to troubleshoot and resolve production issues such as data quality defects, pipeline failures, or downstream reporting impacts, using root-cause analysis to drive sustainable solutions
• Support the launch and adoption of data products by improving usability, consistency, and trust across operational systems, analytics, and reporting
• Continuously improve data quality—accuracy, completeness, consistency, and timeliness—while balancing governance needs with speed and usability
• Contribute to prioritization and roadmap discussions by highlighting data risks, architectural dependencies, and platform considerations
• Participate in agile delivery practices, including backlog refinement, sprint planning, design reviews, and continuous integration/continuous delivery (CI/CD) for data pipelines
• Contribute to broader data initiatives such as metadata management, data discoverability, governance workflows, and domain-based ownership models