
Senior Domain Data Steward
Dallas/Ft. Worth, TX · HybridFull-timeSeen todaySeen in employer's feed today
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At a glance
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Job overview
The Senior Domain Data Steward serves as the primary authority for an assigned wealth-data domain, partnering with data product, engineering, and business teams to maintain trusted, usable data assets. The role connects business priorities with technical delivery, supporting data quality, regulatory readiness, privacy controls, and adoption across operational wealth platforms and analytical environments.
Skills & qualifications
Skills
Qualifications
Full job description
Senior Domain Data Steward
locations
Charlotte, NC
Dallas/Ft. Worth, TX
Malvern, PA
Scottsdale, AZ
time type
Full time
posted on
job requisition id
181615
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:
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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.
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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.
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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.
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Proactive Observability & Profiling: Conduct independent data profiling and investigation using SQL and data observability tools to detect anomalies, schema drifts, and pipeline breaks.
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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.
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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.
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Operationalize Privacy & Controls: Partner with Risk, Information Security, and Engineering to implement client data protection, entitlement models, and privacy standards inside data products.
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Audit & Regulatory Readiness: Ensure domain data is complete, traceable, and compliant with critical regulatory mandates.
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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:
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Education: Bachelor’s degree in Data Management, Information Systems, Finance, Business, or a related field (or equivalent practical experience).
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Experience: 8–10+ years of experience in data stewardship, data management, business analysis, or private wealth operations.
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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).
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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.
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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.
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Wealth Platforms: Operational familiarity with core wealth enterprise systems.
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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 this job compares
Set against the 1,121 open Data Management jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This postingNot listed
- Texas median$109–209K/yr52 salary ranges
- US median$23–30/hr42 hourly ranges
- Openings
- Olive Jobs lists 85 open Data Management jobs in Texas and 1,121 across the US. 3% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience — more than three in four Data Management postings that state a minimum ask for (median 5 years, across 907 postings).
- Education
- 413 of the 1,121 open Data Management jobs (37%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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