Core Responsibilities:A. Governance Strategy & Operating Model- Define and lead the USDI data governance strategy, aligned to business priorities and data strategy
- Design and implement a federated governance model (domain-based ownership, stewardship, councils)
- Establish roles, responsibilities, and decision rights (Data Owners, Data Stewards, Domain Leaders)
- Drive alignment across business and technology to ensure clear ownership and accountability
B. Policy, Standards, and Controls- Own data governance policies, standards, and frameworks
- Ensure consistent adoption of: Data classification & privacy controls Access and usage policies Retention and lifecycle standards
- Partner with Risk, Legal, and Compliance to ensure alignment with regulatory requirements
- Governance function is responsible for design, implementation, and enterprise coordination of governance standards and capabilities
C. Data Quality & Issue Management- Establish a data quality framework with KPIs, controls, and monitoring
- Drive enterprise-wide data issue management lifecycle: Intake 1 triage 1 root cause analysis 1 remediation 1 closure
- Define accountability model for data defects and control ownership
- Governance roles ensure data accuracy, consistency, and alignment with business objectives
D. Metadata, Lineage & Transparency- Establish and scale enterprise capabilities for: Business glossary and definitions Metadata management Data lineage and traceability
- Ensure data is: Discoverable Interpretable Trusted across domains
- Governance requires metadata, lineage, and data standards to support enterprise usage
E. Data Domain Governance & Stewardship- Stand up and lead Data Governance Councils / Working Groups
- Ensure domain-level governance execution via: Data Domain Leaders Data Stewards
- Drive adoption of governance practices at the data product level
F. Governance Enablement & Adoption- Drive data literacy, training, and change management
- Define measurable outcomes for governance adoption: Data quality improvements Metadata completeness Reduction in data issues
- Partner with Data Product, Engineering, and Analytics teams to embed governance in workflows
G. Platform & Tooling Alignment- Oversee governance tooling strategy (e.g., catalog, lineage, data quality platforms)
- Ensure governance capabilities are embedded into the data platform and pipelines
- Partner with engineering to translate policies into enforceable controls
H. Executive Stakeholder Management- Provide executive visibility into: Data quality health Governance maturity Risk exposure
- Lead cross-functional governance forums (e.g., Data SteerCo)
- Influence senior leadership decision-making on data priorities
2.
Required Qualifications- 12-15+ years in data governance, data management, or data strategy leadership
- Proven experience building enterprise-scale governance programs
- Deep expertise in: Data governance frameworks (DAMA, DCAM, etc.) Data quality, metadata, and lineage Regulatory and risk environments (ideally FS)
- Strong leadership across business and technology organizations
- Experience in domain-driven / data product operating models
3.
Preferred Qualifications- Experience with enterprise data platforms and tools (e.g., Collibra, Alation, Purview)
- Familiarity with AI/ML data governance and model data controls
- Background in financial services or regulated industries
Qualifications- Minimum of eight years of related work experience.
- Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
Special FactorsSponsorshipVanguard is not offering visa sponsorship for this position.
