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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Data Governance - **Company:** Odyssey Logistics & Technology - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bioinformatics, Cloud Computing, Cyber Security, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Retention, Interoperability, Machine Learning, Cloud Services, Great Expectations (Foster Youth College-readiness and Support Program), Retrieval-Augmented Generation, Snowflake, Generative AI, Data Layers, Information Technology, Data Lineage, Collibra, Data Management, Artificial Intelligence Governance, Data Pipelines, Databricks - **Published:** October 27, 2026 - **Apply:** https://diversityjobs.com/career/18759293/Director-Data-Governance-North-Carolina-Charlotte ## About the Role * Bachelor's degree in Computer Science, Information Systems, Business Analytics, Engineering, or a related technical discipline; Master's degree (MS or MBA) highly preferred * 10+ years of progressive experience in enterprise data architecture, data management, or business intelligence, including 4+ years architecting and scaling an enterprise data governance program Cloud & Platform Experience * Working knowledge of modern lakehouse and cloud data platforms (Databricks/Unity Catalog, Snowflake, AWS, Azure), data pipelines, and semantic layers * Demonstrated experience evaluating and deploying enterprise data catalog, quality, and governance tools (e.g., Unity Catalog, Collibra, Alation, Atlan, Microsoft Purview, Great Expectations, Monte Carlo) Leadership & Collaboration * Outstanding communication and dispute-resolution skills, with a proven record of uniting divergent operational leaders around unified metric definitions and data standards Preferred * Experience in supply chain, freight forwarding, logistics, or transportation management systems (TMS/ERP) * Certified Data Management Professional (CDMP) or IAPP Artificial Intelligence Governance Professional (AIGP) certification Work Environment & Physical Demands Standard office environment, with periodic visits to warehouses or other light industrial locations. Must be able to lift up to 30 lbs., sit for extended periods, stand, walk, and operate standard office equipment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., Odyssey does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. ## Description We are seeking a Director, Data Governance to own Odyssey's enterprise data stewardship, quality, compliance, and AI readiness operating model. This leader will build and operationalize a federated governance framework across corporate divisions, operational business units, and shared services. Working with business leaders, data engineering, and data science teams, the Director will turn data governance from a passive regulatory checkpoint into a business enabler: one reliable number per KPI, authoritative systems of record for master data, automated cataloging and data quality, and clear guardrails for production AI/ML. What You'll Do Governance Operating Model Architect and lead an enterprise-wide federated governance model. Formalize Data Stewardship Councils, appoint Domain Data Owners across operational divisions, establish clear decision rights, and maintain decision logs and escalation pathways. Master Data & Systems of Record Set and enforce enterprise standards for core master data domains (Customer, Carrier, Lane, Equipment, Facility). Define and validate Systems of Record to ensure interoperability across TMS, WMS, ERP, and cloud lakehouse platforms. Catalog, Lineage & Classification Lead the evaluation, rollout, and adoption of modern metadata and cataloging platforms. Drive data lineage automation, discovery, and classification tagging (PII, confidential, proprietary) from ingestion to consumption. Data Quality Establish programmatic data quality monitoring across critical pipelines (freshness, completeness, schema validity). Define data quality SLAs and work with Data Engineering to deploy automated incident management and alerting playbooks. Business Glossary & KPI Certification Partner with business leaders and BI teams to curate the Enterprise Business Glossary. Enforce certification protocols for executive KPIs ("One Number per KPI") across financial decks, executive dashboards, and customer reports. AI/ML Governance Establish governance policies for Machine Learning and Generative AI pipelines, including input data lineage, feature store integrity, governed RAG source boundaries, and agentic audit trails. Compliance & Retention Work with Information Security and Legal to enforce data retention schedules, cross-border data protection policies, and regulatory compliance (CCPA, GDPR). Leadership Manage, mentor, and develop a team of 4-6 professionals (Data Stewards, Catalog Administrators, and Data Governance Analysts). Build a culture of data stewardship and literacy across the enterprise.