Data Product Manager

Data Product Manager

About the role
At Vanguard, we're committed to helping our clients achieve long-term financial success through clarity, discipline, and a focus on what matters most. As a Date Product Manager, you'll play a key role in making high-quality, trusted data accessible across the organization. Your work will enable better decisions, improve client outcomes, and support scalable, enterprise-wide data solutions. You'll collaborate with teammates across engineering, analytics, and business functions to build data products that are reliable, well-governed, and designed for real-world impact.

Core Responsibilities

• Own strategic product leadership for a family of master and reference data products, with end-to-end accountability for vision, roadmap, and value delivery across the data lifecycle (ingestion, modeling, quality, orchestration, storage, and consumption).
• Define and evolve the target-state architecture and operating model for MDM and RDM, guiding maturity progression across domains while balancing governance, scalability, usability, and speed.
• Lead cross-functional alignment across data engineering, analytics engineering, platform, governance, and business teams to set and operationalize enterprise standards for data modeling, data quality frameworks, data contracts, and lifecycle ownership.
• Translate complex and often ambiguous business needs into cohesive portfolio-level roadmaps, sequencing initiatives based on risk and business impact.
• Maintain strong technical credibility through hands-on SQL and data analysis when needed, while primarily operating at a system-level view across multiple interdependent data products.
• Oversee resolution of complex, cross-product production issues, driving root cause analysis and durable remediation for data quality defects, pipeline failures, and downstream analytics breakages.
• Establish and continuously improve data product delivery practices including portfolio backlog management, dependency orchestration, CI/CD for data pipelines, observability, and data freshness monitoring.
• Drive adoption, trust, and consistency of master and reference data across operational systems, analytics, and reporting by improving discoverability, reliability, and clarity of ownership.
• Influence enterprise planning and investment decisions by representing data product risk, technical constraints, and long-term sustainability in senior stakeholder forums.

• QualificationsUndergraduate degree required; advanced degree or equivalent hands-on experience in data engineering, analytics engineering, or related disciplines preferred.
• 8+ years of experience in data product management, data engineering, analytics, or closely related roles.
• Proven experience owning product vision and roadmaps across multiple, interdependent data products or domains.
• Demonstrated ability to lead large, cross-functional initiatives and operate effectively in high-complexity, high-ambiguity environments.
• Strong technical fluency in data architectures, data modeling, SQL-based analysis, pipeline orchestration, and data quality frameworks and management.