Director, Data Governance

Odyssey•Charlotte, NC

2d•Hybrid

About The Position

Odyssey Logistics is seeking a Director, Data Governance to lead its enterprise data stewardship, quality, compliance, and AI-readiness operating model. The role will establish and operationalize a federated governance framework spanning corporate divisions, operational business units, and shared services. In partnership with business leaders, data engineering, and data science teams, the Director will make governance a business enabler by advancing trusted KPIs, authoritative master-data systems of record, automated cataloging and data quality, and safeguards for production AI/ML. The position is based in Charlotte, North Carolina, with an onsite schedule Monday through Thursday and remote work on Friday. It reports to the Senior Director, Data Services. Travel is generally less than 25%. The role is salaried and exempt. Applicants must be authorized to work in the United States; relocation allowance is not available unless specifically addressed. The Director will manage, mentor, and develop a team of 4–6 data stewards, catalog administrators, and data governance analysts, while building data stewardship and literacy across the enterprise. The work takes place in a standard office environment, with periodic visits to warehouses or other light industrial locations.

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, including 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 currently authorized to work in the United States.
Ability to lift up to 30 lbs., sit for extended periods, stand, walk, and operate standard office equipment.

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 governance model, formalizing Data Stewardship Councils, appointing Domain Data Owners, establishing decision rights, and maintaining decision logs and escalation pathways.
Set and enforce enterprise standards for Customer, Carrier, Lane, Equipment, and Facility master data, and define and validate Systems of Record across TMS, WMS, ERP, and cloud lakehouse platforms.
Lead evaluation, rollout, and adoption of metadata and cataloging platforms; drive automated data lineage, discovery, and classification tagging from ingestion through consumption.
Establish programmatic data quality monitoring for critical pipelines, define data quality SLAs, and partner with Data Engineering on automated incident management and alerting playbooks.
Partner with business leaders and BI teams to curate the Enterprise Business Glossary and 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 professionals, including Data Stewards, Catalog Administrators, and Data Governance Analysts.
Build a culture of data stewardship and literacy across the enterprise.