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Senior Data Governance Manager, Operations
Vantage Data CentersCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining data governance frameworks, operationalizing data stewardship, and implementing data quality processes. Proficient in leveraging AI-enabled tools for data management and governance across complex organizational structures.
Highest-signal resume keywords
Data GovernanceData Quality ProcessesMicrosoft Purview Unified CatalogAI-Enabled ToolsData Stewardship
About the role
Key responsibilities & impact- Develop and maintain the Operations data-governance framework, roadmap, decision rights, and operating practices
- Operationalize data-owner and data-steward responsibilities across Operations functions
- Facilitate governance decisions and resolve cross-functional data ownership, definition, quality, access, and usage issues
- Identify critical data elements and establish quality rules, validation criteria, thresholds, and controls
- Monitor data-quality and trust indicators, identify root causes, and coordinate remediation
- Maintain visibility into governance risks, ownership gaps, unresolved data issues, and remediation progress
- Establish and maintain business definitions, metric definitions, ownership records, approved sources, and domain metadata
- Promote consistent governed definitions across data products, semantic models, dashboards, analytics, reporting, and AI solutions
- Coordinate data-lineage documentation and align practices with enterprise catalog, metadata, master-data, and reference-data standards
- Leverage AI-enabled, automation, and workflow tools for data discovery, metadata enrichment, definition development, issue triage, impact analysis, and steward support
- Translate governance requirements into automated quality tests, controls, alerts, workflow triggers, and deployment checkpoints
- Evaluate emerging data- and AI-governance capabilities and recommend practical applications
- Embed governance requirements into the lifecycle of data products, analytics, and AI solutions
- Operationalize enterprise AI-governance requirements, including intended use, data sources, provenance, risk assessment, quality, access, human oversight, and monitoring controls
- Partner with business, data, technology, risk, and compliance teams on security, privacy, transparency, and responsible use
- Develop playbooks, training, communications, and support resources
- Establish feedback loops, governance measures, and continuous-improvement processes
- Analyze recurring data issues, user feedback, and governance metrics to identify root causes, risks, automation opportunities, and process improvements
Requirements
What you’ll need- Bachelor’s degree in data management, information systems, computer science, engineering, business, or a related field, or equivalent professional experience
- Five or more years of experience in data governance, data management, analytics, data products, or a related discipline
- Experience implementing governance operating models, ownership and stewardship practices, business glossaries, data catalogs, and data-quality processes across the data and technology lifecycle
- Experience using catalog, metadata, lineage, data-quality, observability, AI-enabled, and workflow-automation tools
- Hands-on experience with Microsoft Purview Unified Catalog and Data Map, or comparable platforms
- Working knowledge of Microsoft Fabric, Power BI, and Power Platform
- Experience working across business, data, technology, risk, and compliance teams in a large, complex organization
- Strong knowledge of data ownership, stewardship, metadata, lineage, data quality, observability, and data- and AI-governance lifecycle practices
- Technical fluency in data models, semantic models, data flows, lineage, access controls, and information protection
- Ability to translate enterprise policies and technical requirements into practical processes and scalable, AI-assisted or automated governance workflows
- Strong facilitation and influencing skills
- Strong analytical judgment and ability to resolve ambiguous ownership, definition, and quality issues
- Clear written and verbal communication skills
- Highly organized, proactive, and comfortable independently advancing work
- Travel required up to 10%, potentially increasing over time
- CDMP, DCAM/CDMC, or relevant Microsoft Fabric, Power BI, data governance, or information-protection certification preferred
- Experience governing data used by AI-enabled solutions preferred
- Experience in operations, infrastructure, industrial, or another asset-intensive environment preferred
Benefits
Comp & perks- Medical, dental, and vision coverage
- Life and AD&D coverage
- Short- and long-term disability coverage
- Paid time off
- Employee assistance program
- 401(k) program with company match
- Additional voluntary benefits
- Above-market total compensation package
- Health and welfare benefits
- Retirement benefits
- Paid leave benefits
- Recognition programs
- Training and development opportunities
- Flexible work policy with 2 flexible days per week
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ManagementData AnalyticsData OwnershipData LineageData ModelsSemantic ModelsInformation ProtectionGovernance Operating ModelsData CatalogsData Quality
Soft Skills
Strong Analytical JudgmentClear Communication SkillsFacilitation SkillsOrganizational SkillsProactive Work Ethic
Tools & Technologies
Microsoft FabricPower BIPower PlatformWorkflow Automation ToolsMetadata ToolsObservability Tools
Certifications & Qualifications
CDMPDCAM/CDMCMicrosoft Fabric CertificationData Governance CertificationInformation Protection Certification
Industry Keywords
Data Governance LifecycleAI GovernanceComplianceRisk AssessmentAsset-Intensive Environment