Skip to content
Level

Vanguard

Domain Data Steward

Vanguard is hiring a Domain Data Steward. Level rates it ; you can apply on Vanguard.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Vanguard mentions visa sponsorship in this posting.
  • Tools and skills the posting cites include SQL, data governance and data quality.
  • Level lists 358 other open roles at Vanguard.
  • The role was posted in the last few days.

AI in this role

Monitor data quality, maintain metadata and lineage, and support governance processes for enterprise data assets.

sql
data-governancedata-qualitydata-profilingmetadata-management

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.

Special Factors

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.

How we rate this

Domain Data Steward at Vanguard rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data GovernanceData QualityData ProfilingMetadata ManagementSQL

Questions you could be asked

  1. Tell me about a project where data governance was part of your work. What did you do?
  2. Tell me about a project where data quality was part of your work. What did you do?
  3. Tell me about a project where data profiling was part of your work. What did you do?
  4. Tell me about a project where metadata management was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Governance, Data Quality, Data Profiling, Metadata Management, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. You get your review by email within 24 hours.

Get new data jobs by email

One email a week with the new data jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Data roles that involve little AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Vanguard

Related searches

Same AI level