Data Product Manager

The Vanguard Group; Malvern (Chester County); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Vanguard in Malvern, PA is seeking a Data Product Manager to lead a family of master and reference data products, owning the vision, roadmap, and value delivery across the data lifecycle.

You will collaborate with data engineering, analytics, platform, governance, and business teams to establish governance, data quality frameworks, and scalable architectures, while translating business needs into portfolio roadmaps and ensuring durable data solutions across the organization.

Qualifications

• Undergraduate degree required; advanced degree or equivalent hands-on experience in data engineering, analytics, 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.

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.
• 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.

Skills

Data product management

Data engineering

Analytics engineering

SQL

Data modeling

Data quality frameworks

Pipeline orchestration

Cross-functional leadership

Stakeholder communication

Education

Undergraduate degree

Advanced degree preferred

Job description

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.

What we’re looking for

Qualifications

Undergraduate 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.

Special Factors

Sponsorship Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long‑term client outcomes and enrich the employee experience. Vanguard, one of the world's leading investment management companies, serves individual investors, institutions, employer‑sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests.