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Technical Product Manager, Data Strategy

ExperiencedVisa sponsorship available
Vanguard logo

at Vanguard

Asset Management

Posted 6 days ago

No clicks

**Technical Product Manager, Data Strategy**: Drive cross-functional data product strategy, leveraging SQL and data profiling. Balance data quality, governance, and speed. Collaborate to build, launch, and continually refine data products for enterprise-wide impact. Requires 5+ years in tech product management, data experience, and stakeholder acumen. Vanguard offers hybrid work, driving toward long-term client success.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

Full Job Description

Technical Product Manager, Data Strategy

About the role
At Vanguard, were 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, youll 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. Youll collaborate with teammates across engineering, analytics, and business functions to build data products that are reliable, well-governed, and designed for real-world impact.

What youll do

  • Lead the vision, strategy, and roadmap for master and reference data products, with accountability across the full data lifecycleingestion, 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 qualityaccuracy, completeness, consistency, and timelinesswhile 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.

What were looking for

  • 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.

  • Advanced degree in information technology or related field is a plus.

  • Experience leading cross-functional initiatives or projects is preferred.

Special Factors

  • Vanguard is not offering visa sponsorship for this position.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a missionwe'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.

Technical Product Manager, Data Strategy

Compensation

Not specified

City: Not specified

Country: United States

Vanguard logo
Asset Management

6 days ago

No clicks

at Vanguard

ExperiencedVisa sponsorship available

**Technical Product Manager, Data Strategy**: Drive cross-functional data product strategy, leveraging SQL and data profiling. Balance data quality, governance, and speed. Collaborate to build, launch, and continually refine data products for enterprise-wide impact. Requires 5+ years in tech product management, data experience, and stakeholder acumen. Vanguard offers hybrid work, driving toward long-term client success.

Full Job Description

Technical Product Manager, Data Strategy

About the role
At Vanguard, were 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, youll 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. Youll collaborate with teammates across engineering, analytics, and business functions to build data products that are reliable, well-governed, and designed for real-world impact.

What youll do

  • Lead the vision, strategy, and roadmap for master and reference data products, with accountability across the full data lifecycleingestion, 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 qualityaccuracy, completeness, consistency, and timelinesswhile 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.

What were looking for

  • 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.

  • Advanced degree in information technology or related field is a plus.

  • Experience leading cross-functional initiatives or projects is preferred.

Special Factors

  • Vanguard is not offering visa sponsorship for this position.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a missionwe'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.