Domain Data Steward

The Vanguard Group•Charlotte, NC

5d•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, this role helps ensure domain data is trusted, well-defined, governed, and suitable for operational and analytical use. The steward 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. The role supports business understanding and use of certified data products, translates consumer feedback and business challenges into prioritized backlog items, and applies established trust standards, validation rules, and business definitions. It conducts data profiling and validation, monitors quality measures, investigates defects and pipeline issues, validates data flows and lineage, and supports remediation. The Domain Data Steward also maintains glossary definitions, critical data elements, metadata, and lineage documentation; supports governance, data classification, ownership, privacy, and control processes; and participates in governance forums. It assists with audit, regulatory, and compliance activities through accurate documentation and evidence collection, and partners with Risk, Compliance, Information Security, and Data Engineering teams to address data concerns. Vanguard describes its mission as supporting clients’ long-term financial wellbeing and transforming clients’ lives through products and services. Its hybrid working model is designed to combine flexibility with 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 Personal Wealth Management 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 day-to-day confidence in certified data products.
Promote consistent use of business definitions and trusted data sources to support adoption of approved data assets.
Conduct data profiling, validation, and investigation using SQL and data quality tools to detect anomalies, schema drift, data defects, and pipeline issues.
Monitor domain data quality KPIs, issue trends, and exception reports, and support remediation to improve data trust and usability.
Triage domain data defects and partner 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 defined by governance, risk, and security teams.
Support audit, regulatory, and compliance activities by maintaining complete, traceable, and accurate documentation.
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.