Director, Data Governance

Odyssey Logistics•Charlotte, NC

1d•Hybrid

About The Position

Odyssey Logistics is seeking a Director, Data Governance to own the enterprise data stewardship, quality, compliance, and AI-readiness operating model. The role will build and operationalize a federated governance framework across corporate divisions, operational business units, and shared services. In partnership with business leaders, data engineering, and data science teams, the Director will establish reliable KPI definitions, authoritative systems of record for master data, automated cataloging and data quality, and governance guardrails for production AI and machine learning. The Director will lead governance operating-model design, master-data standards, metadata cataloging and lineage, data-quality monitoring, business glossary and KPI certification, AI/ML governance, and compliance and retention practices. The position also manages, mentors, and develops a team of 4–6 professionals and promotes data stewardship and literacy across the enterprise. The position is based in Charlotte, North Carolina, with an onsite schedule Monday through Thursday and remote work on Fridays. It reports to the Senior Director, Data Services. Travel is generally less than 25%. The role is salaried and exempt. Applicants must be currently authorized to work in the United States; relocation allowance will not be considered unless specifically addressed.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Business Analytics, Engineering, or a related technical discipline.
10+ years of progressive experience in enterprise data architecture, data management, or business intelligence.
4+ years architecting and scaling an enterprise data-governance program.
Working knowledge of modern lakehouse and cloud data platforms, such as Databricks/Unity Catalog, Snowflake, AWS, and Azure, as well as data pipelines and semantic layers.
Demonstrated experience evaluating and deploying enterprise data catalog, quality, and governance tools.
Outstanding communication and dispute-resolution skills, with a proven record of uniting divergent operational leaders around unified metric definitions and data standards.
Must be able to lift up to 30 lbs., sit for extended periods, stand, walk, and operate standard office equipment.
Currently authorized to work in the United States.

Nice To Haves

Master’s degree (MS or MBA).
Experience in supply chain, freight forwarding, logistics, or transportation management systems (TMS/ERP).
Certified Data Management Professional (CDMP) certification.
IAPP Artificial Intelligence Governance Professional (AIGP) certification.
Experience with tools such as Unity Catalog, Collibra, Alation, Atlan, Microsoft Purview, Great Expectations, or Monte Carlo.

Responsibilities

Architect and lead an enterprise-wide federated data governance model.
Formalize Data Stewardship Councils, appoint Domain Data Owners across operational divisions, establish decision rights, and maintain decision logs and escalation pathways.
Set and enforce enterprise standards for core master data domains, including Customer, Carrier, Lane, Equipment, and Facility.
Define and validate Systems of Record to ensure interoperability across TMS, WMS, ERP, and cloud lakehouse platforms.
Lead evaluation, rollout, and adoption of metadata and data cataloging platforms.
Drive data lineage automation, data discovery, and classification tagging for PII, confidential, and proprietary data from ingestion through consumption.
Establish programmatic data-quality monitoring for critical pipelines, including freshness, completeness, and schema validity.
Define data-quality SLAs and work with Data Engineering to implement automated incident management and alerting playbooks.
Partner with business leaders and BI teams to curate the Enterprise Business Glossary.
Enforce certification protocols for executive KPIs across financial decks, executive dashboards, and customer reports.
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.
Work with Information Security and Legal to enforce data-retention schedules, cross-border data-protection policies, and regulatory compliance, including CCPA and GDPR.
Manage, mentor, and develop a team of 4–6 Data Stewards, Catalog Administrators, and Data Governance Analysts.
Build a culture of data stewardship and literacy across the enterprise.