Senior Domain Data Steward
Vanguard is hiring a Senior 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 350 other open roles at Vanguard.
- The role was posted in the last few days.
AI in this role
Own end-to-end health, usability, and trust of wealth data assets while partnering with product and engineering teams.
The Senior Domain Data Steward serves as the primary domain authority and cross-functional connector across assigned USDI (e.g., Client & Household, Account, Portfolio & Performance, Advisor, Alternative Products, or Reference Data).
Working hand in hand with Data Product Managers, IT/Engineering teams, and Business Domain Owners, this role owns the end-to-end health, usability, and trust of wealth data assets. The Domain Data Steward bridges business intent and technical delivery—ensuring data across operational wealth engines and analytical environments is inherently trusted, high-quality, regulatory-defensible, and structurally aligned to power core business operations, advisor tools, and executive analytics.
Responsibilities:
- Co-Own Domain Roadmaps: Partner directly with Data Product Managers to translate business domain priorities, operational friction points, and consumer needs into prioritized product backlogs and technical delivery milestones.
- Define Data Trust Standards: Establish domain-specific quality benchmarks, validation rules, and business acceptance criteria for Data Product Managers and IT Engineers to embed directly into software development lifecycles (SDLC) and data pipelines.
- Drive Business Adoption: Act as the primary advocate for the domain to business consumers (advisors, wealth operations, executive reporting)—building confidence in data assets, accelerating self-service analytics, and driving adoption of certified data products.
- Proactive Observability & Profiling: Conduct independent data profiling and investigation using SQL and data observability tools to detect anomalies, schema drifts, and pipeline breaks.
- Root-Cause Incident Resolution: Lead cross-functional triaging of domain data defects, partnering directly with Data Engineering teams to implement permanent technical fixes rather than temporary workarounds.
- Data Flow & Ecosystem Integrity: Validate end-to-end data flows across core wealth platforms to ensure data consistency as information transitions from operational platforms into cloud data warehouses and analytical layers.
- Operationalize Privacy & Controls: Partner with Risk, Information Security, and Engineering to implement client data protection, entitlement models, and privacy standards inside data products.
- Audit & Regulatory Readiness: Ensure domain data is complete, traceable, and compliant with critical regulatory mandates.
- Cross-Team Alignment: Serve as the connective tissue aligning Business Domain Owners, Data Product Managers, and IT Engineering around a unified vision for data quality and operational excellence.
Education & Experience:
- Education: Bachelor’s degree in Data Management, Information Systems, Finance, Business, or a related field (or equivalent practical experience).
- Experience: 8–10+ years of experience in data stewardship, data management, business analysis, or private wealth operations.
- Domain Expertise: Strong functional knowledge of Private Wealth Management processes and structures (e.g., client onboarding, household hierarchies, trust/fiduciary accounting, portfolio accounting, alternative investments, or GIPS performance metrics).
- Technical Proficiency: Hands-on ability to write SQL queries to independently profile datasets, validate data models, trace data lineage, and debug data issues alongside engineering teams.
- Cross-Functional Collaboration: Demonstrated success collaborating with agile software delivery teams, Data Product Managers, and technical engineers to prioritize backlogs and build trusted data assets.
- Wealth Platforms: Operational familiarity with core wealth enterprise systems.
- Data & Delivery Stack: Hands-on experience with cloud data platforms and observability/collaboration tools.
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
Senior 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where data quality was part of your work. What did you do?
- Tell me about a project where data observability was part of your work. What did you do?
- Tell me about a project where data stewardship was part of your work. What did you do?
- 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 Observability, Data Stewardship, 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.
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