Data Governance Architect III

JOB DESCRIPTION

Why GMF Technology?

Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

We are not able to provide visa sponsorship either now or in the future for this 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).

• 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.