Domain Data Steward

Vanguard; Charlotte (NC); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Vanguard is seeking a Domain Data Steward to manage assigned data domains and ensure data is trusted, well-defined, and properly governed for operations and analytics. You will collaborate with Data Product Managers, Domain Owners, and data engineers to maintain metadata, lineage, and data quality.

Responsibilities include monitoring data quality KPIs, responding to data issues, and supporting governance with stakeholders to improve enterprise data confidence across cloud data warehouses and

Qualifications

• Bachelor's degree required in data-related field.
• 5–7 years in data stewardship, governance, or related operations.
• Hands-on SQL for profiling, validation, and lineage tracing.

Responsibilities

• Understand business requirements and data consumption needs with stakeholders.
• Translate feedback into backlog items and enhancement requests.
• Apply trust standards, validation rules, and business definitions to domain data assets.
• Respond to questions and build confidence in certified data products.
• Promote consistent usage of trusted data sources and definitions.
• Profile data, validate quality, and investigate issues using SQL and tooling.
• Monitor KPIs, trends, and remediation activities for data trust.

Skills

SQL proficiency

Data governance

Stakeholder collaboration

Education

Bachelor's degree in Data Management/Information Systems/Finance/Business

Tools

Data quality tools

Job description

The Domain Data Steward serves as the day-to-day steward for assigned USDI data domains (e.g., Client & Household, Account, Portfolio & Performance, Advisor, Alternative Products, or Reference Data). Working closely with Data Product Managers, Business Domain Owners, Data Engineering teams, and data consumers, this role ensures domain data is trusted, well-defined, properly governed, and fit for operational and analytical use.

The Domain Data Steward is responsible for monitoring data quality, maintaining domain metadata and lineage, supporting governance processes, investigating data issues, and partnering with stakeholders to improve confidence in enterprise data assets.

Responsibilities

• Partner with Data Product Managers, business stakeholders, and data consumers to understand business requirements, operational challenges, and data consumption needs.
• Support Data Product Managers by translating business friction points and consumer feedback into prioritized backlog items and enhancement requests.
• 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.
• Support adoption of approved data assets by promoting consistent usage of business definitions and trusted data sources.
• 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; support remediation activities 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 as 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.

Education & Experience

• 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.

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.