Domain Data Steward

Vanguard•Malvern, PA
•Hybrid

About The Position

The Domain Data Steward serves as the day-to-day steward for assigned USDI data domains, such as Client & Household, Account, Portfolio & Performance, Advisor, Alternative Products, or Reference Data. Working with Data Product Managers, Business Domain Owners, Data Engineering teams, and data consumers, the role helps ensure domain data is trusted, well-defined, appropriately governed, and suitable for operational and analytical use. The role monitors data quality, maintains domain metadata and lineage, supports governance processes, investigates data issues, and works with stakeholders to improve confidence in enterprise data assets. It also supports adoption of certified data products and helps ensure compliance with governance, privacy, risk, security, audit, and regulatory requirements. Vanguard describes its mission as supporting clients’ long-term financial wellbeing and providing products and services that transform clients’ lives. The company uses a hybrid working model for the majority of its crew members, intended to support flexibility alongside in-person learning, collaboration, and connection. Vanguard is not offering visa sponsorship for this position.

Requirements

  • Bachelor's degree in Data Management, Information Systems, Finance, Business, or a related field.
  • 5–7 years of experience in data stewardship, data governance, data management, business analysis, or Personal Wealth Management operations.
  • Hands-on SQL proficiency for data profiling, model validation, lineage tracing, and issue investigation.
  • Working knowledge of at least one PWM domain, such as client onboarding, household hierarchies, trust/fiduciary accounting, portfolio accounting, performance reporting, or advisor servicing.
  • Experience collaborating with business stakeholders, Data Product Managers, and Data Engineering teams in an agile delivery environment.
  • Strong analytical, problem-solving, communication, and documentation skills.

Responsibilities

  • Partner with Data Product Managers, business stakeholders, and data consumers to understand business requirements, operational challenges, and data consumption needs.
  • Translate business friction points and consumer feedback into prioritized backlog items and enhancement requests in support of Data Product Managers.
  • Apply established data trust standards, validation rules, and business definitions to domain data assets.
  • Respond to business consumer questions and build confidence in certified data products.
  • Promote consistent use of business definitions and trusted data sources to support adoption of approved data assets.
  • Use SQL and data quality tools for data profiling, validation, and investigation of anomalies, schema drift, data defects, and pipeline issues.
  • Monitor domain data quality KPIs, issue trends, and exception reports, and support remediation activities.
  • Triage domain data defects and work with Data Engineering teams to investigate root causes and implement corrective actions.
  • Validate end-to-end data flows across operational platforms, cloud data warehouses, and analytical environments.
  • Perform lineage validation and impact assessments for data changes, defects, and enhancements.
  • Maintain business glossary definitions, critical data elements, metadata, and lineage documentation for assigned domains.
  • Ensure adherence to enterprise data governance policies, standards, and controls.
  • Support data classification, data ownership documentation, and stewardship activities within the assigned domain.
  • Participate in governance forums and working groups to represent domain-specific data quality and operational concerns.
  • Apply client data protection standards, entitlement models, and privacy controls as defined by governance, risk, and security teams.
  • Maintain complete, traceable, and accurate documentation to support audit, regulatory, and compliance activities.
  • Assist with data issue remediation and evidence collection related to risk, compliance, and audit findings.
  • Partner with Risk, Compliance, and Information Security teams to ensure domain data complies with applicable policies and regulatory requirements.
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