Data Governance Architect III
GM Financial
full-time
Posted on:
Location Type: Hybrid
Location: Dallas • Texas • United States
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About the role
- Design and maintain enterprise data governance architecture
- Translate regulatory and business policies into enforceable standards
- Lead definition and maintenance of data standards (naming, modeling, metadata, classification, quality, lineage, access controls).
- Govern canonical definitions, taxonomies, and semantic standards
- Architect and govern enterprise metadata management, including business, technical, operational, and privacy metadata
- Ensure traceability from logical model → canonical model → physical data → consumption.
- Architect governance controls that support: Data mapping and Records of Processing (RoPA)Privacy classification, purpose limitation, and retention DSAR discovery, impact analysis, and execution
- Lead governance architecture and integration for platforms such as: Informatica CDGC / CDQ, BigID, ServiceNow
- Integrate governance tooling with: Cloud data platforms, ETL/ELT tools, BI and analytics tools (Power BI)
- Provide guidance on master data, reference data, and interoperability across systems and platforms.
- Establish data-sharing contracts and domain service agreements to ensure consistent use of data across the enterprise.
- Influence architecture decisions to ensure data governance requirements are embedded into product and platform designs.
- Align governance with cybersecurity controls
- Ensure governance controls align with compliance requirements (SOX, GDPR, CCPA, HIPAA, PCI, etc.).
- Support integration and traceability between data architecture and enterprise architecture (capability maps, application/technology portfolios).
Requirements
- High School Diploma or equivalent required
- Bachelor’s Degree in related field or equivalent work experience preferred
- 4-6 years experience data modeling, data architecture, data governance or enterprise data management required
- Strong knowledge of data governance frameworks (e.g., DAMA‑DMBOK) and data management practices.
- Expertise in data modeling (conceptual/logical/physical), metadata, and taxonomy/ontology design.
- Familiarity with privacy regulations (e.g., GDPR, CCPA) and compliance standards; experience partnering with Privacy/Compliance.
- Experience with enterprise architecture frameworks (e.g., TOGAF) and architecture governance.
- Excellent stakeholder management and communication skills; able to influence without authority across business and technology.
- Experience with regulatory data management and tools like BigID or OneTrust is a plus
- Practical experience implementing MDM, data catalogs, and lineage (e.g., Informatica CDGC, Collibra, Alation, Azure Purview).
- Modeling tools (e.g., ER/Studio, Erwin)
- Knowledge of security and risk frameworks (e.g., NIST, ISO 27001) and data protection techniques (tokenization/masking).
- Background in regulated industries (financial services, healthcare, public sector) with audit‑ready documentation practices.
- Certifications: CDMP, TOGAF, CIMP or equivalent preferred.
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
data governance architecturedata modelingdata architecturedata governancemetadata managementdata mappingrecords of processingdata lineagedata qualitydata classification
Soft Skills
stakeholder managementcommunication skillsinfluence without authorityguidancecollaboration
Certifications
CDMPTOGAFCIMP