Data Product Manager

Posted 5 Days Ago
Be an Early Applicant
Malvern, PA, USA
In-Office
Senior level
Fintech
The Role
Owns the vision, roadmap, architecture, governance, and value delivery of enterprise master and reference data products. Leads cross-functional teams across engineering, analytics, governance, and business functions; establishes data modeling, quality, lifecycle, and delivery standards; resolves complex data issues; and drives adoption, reliability, observability, and strategic investment decisions across interconnected data products.
Summary Generated by Built In

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

  • 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.

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.

Skills Required

  • Undergraduate degree
  • 8+ years of experience in data product management, data engineering, analytics, or closely related roles
  • Experience owning product vision and roadmaps across multiple, interdependent data products or domains
  • Ability to lead large, cross-functional initiatives in high-complexity, high-ambiguity environments
  • Technical fluency in data architectures, data modeling, SQL-based analysis, pipeline orchestration, and data quality frameworks and management
  • Advanced degree or equivalent hands-on experience in data engineering, analytics engineering, or related disciplines

Vanguard Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.

  • Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
  • Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
  • Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.

Vanguard Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Malvern, PA
20,252 Employees
Year Founded: 1975

What We Do

We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.

Similar Jobs

Capital One Logo Capital One

Product Manager

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
4 Locations
55000 Employees
183K-250K Annually
In-Office
2 Locations
17000 Employees

AlphaSense Logo AlphaSense

Senior Product Manager

Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Business Intelligence
Remote or Hybrid
United States
2000 Employees
158K-185K Annually

Crunchbase Logo Crunchbase

Senior Product Manager

Information Technology • Machine Learning • Natural Language Processing • Software • Database • Generative AI
In-Office or Remote
17 Locations
167 Employees
160K-190K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account