Technical Product Manager, Data Strategy
About The Position
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 Technical Product Manager in Data Strategy, 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.
Requirements
- Undergraduate degree or an equivalent combination of education, training, and experience.
- At least five years of relevant experience in technical product management, data, or a related field.
- Experience working with data engineering, business intelligence, or analytics engineering concepts, including data modeling and BI tools.
- Ability to collaborate across teams and communicate effectively with both technical and non-technical stakeholders.
- Experience using data to inform decisions, including hands-on work with SQL or similar tools.
Nice To Haves
- Advanced degree in information technology or related field is a plus.
- Experience leading cross-functional initiatives or projects is preferred.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
