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Manager, Data Governance
BenevityData Governance Manager strengthening Benevity’s social-impact technology platform. Defining data standards, quality frameworks, catalog practices, and access governance across the organization.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Governance, including the development and enforcement of data quality frameworks, access governance, and compliance with privacy regulations. Proven ability to lead cross-functional teams and build organizational accountability through effective communication and training.
Highest-signal resume keywords
Data Governance LeadershipData Quality FrameworksDataHub ExperienceGDPR ComplianceDAMA CDMP Certification
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 ClassificationAccess GovernanceData Quality AuditsDataset ProfilingData Health Score MethodologySLA DocumentationRemediation TrackingData Catalog OperationMetadata Management
Soft Skills
Stakeholder EngagementCross-Functional CollaborationExecutive CommunicationTraining and DevelopmentProgram Leadership
Tools & Technologies
DataHubCollibraAlationAtlanMonte CarloLightupGreat ExpectationsDbtOneTrustPrivacera
Certifications & Qualifications
DAMA CDMP CertificationDataHub Cloud CertificationAcryl Data CertificationApache Atlas CertificationAWS Glue Data Catalog Certification
Industry Keywords
Data GovernanceData QualityPrivacy RegulationsGDPRCCPASOC 2Internal Audit StandardsSaaS GovernanceB2B GovernanceMLOps
Tech Stack
Tools & technologiesApacheAWSAzureCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Lead and grow the Data Governance function and set strategic direction for ownership, stewardship, access governance, and classification standards
- Own and operate DataHub as the living catalog of organizational data assets
- Evaluate and deploy complementary governance, observability, privacy, entitlement, and quality platforms
- Own the enterprise Data Quality Framework across six quality dimensions
- Classify data assets into quality tiers and enforce tier-based SLAs and standards
- Document, publish, and review data quality SLAs
- Define and publish data health score methodology and report domain scores monthly
- Conduct quarterly data quality audits, assign remediation, and track accountability and due dates
- Define and maintain dataset profiling policies and escalation thresholds
- Govern the separation between quality rule definition and implementation by Engineering and DataOps
- Own access control and entitlements governance
- Lead alignment with privacy regulations, internal audit requirements, and industry standards
- Partner with Legal and Security on current data handling practices
- Facilitate the cross-functional data domain council
- Build organizational data accountability through training, communication, and stakeholder engagement
Requirements
What you’ll need- Degree in Computer Science, Information Management, Business, or equivalent professional experience
- 7 or more years of experience in data governance, data management, or a closely related field
- At least 2 years in a people or program leadership role
- Hands-on experience operating a data catalog or metadata management platform
- DataHub experience strongly preferred
- Familiarity with Collibra, Alation, or Atlan
- Working knowledge of Monte Carlo, Lightup, Great Expectations, or dbt
- Familiarity with OneTrust, Privacera, or equivalent platforms
- Strong understanding of data quality frameworks, dimensions, SLAs, health scores, and remediation
- Experience designing and enforcing data classification and access governance frameworks in AWS, Azure, or GCP
- Understanding of GDPR, CCPA, SOC 2, and internal audit standards
- Ability to facilitate cross-functional councils, align stakeholders, and enforce standards
- Strong written and executive communication skills
- Experience with dbt, lineage, documentation, and testing practices
- Ability to build programs from the ground up in a maturing governance environment
- DAMA CDMP certification, DataHub Cloud or Acryl Data, Apache Atlas or AWS Glue Data Catalog, SaaS/B2B governance, and MLOps or AI model risk experience are great-to-haves
Benefits
Comp & perks- Flexible hybrid work approach
- Flexible decisions about when to work in person
- Growth opportunities
- Innovative work
- Caring co-workers
- DEIB-focused culture and employee resource groups
- Equal opportunities and fair, accessible hiring process
- Accommodation support throughout the hiring or assessment process