Director of Data Governance & AI Readiness

Odyssey Logistics & Technology Corporation

Charlotte (NC)

Hybrid

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

401(k) Plan with Company Match
Paid Time Off (PTO)

Job summary

Odyssey Logistics & Technology Corporation is seeking a Director of Data Governance in Charlotte, NC. The role leads enterprise data stewardship, quality, compliance, and AI readiness, building a federated governance framework across divisions and shared services.

Collaborate with data engineering and data science to turn data governance into a business enabler, delivering authoritative RO records, automated cataloging, and guardrails for production AI/ML.

Qualifications

  • Bachelor's degree or higher in a technical field.
  • 10+ years in enterprise data architecture or BI.
  • 4+ years building or scaling data governance programs.

Responsibilities

  • Architect enterprise federated governance model.
  • Define data stewardship councils and ownership roles.
  • Manage master data domains and systems of record (TMS/WMS/ERP).
  • Lead metadata cataloging, data lineage, and classification.
  • Establish data quality SLAs and automate incident management.
  • Certify KPI definitions and enterprise glossary usage.
  • Govern AI/ML pipelines data lineage and governance policies.
  • Ensure data retention, cross-border data protection compliance.

Skills

Leadership
Communication
Dispute resolution
Strategic thinking

Education

Bachelor's degree in Computer Science, Information Systems, Business Analytics, Engineering
Master's degree (MS or MBA) highly preferred

Tools

Databricks/Unity Catalog
Snowflake
AWS
Azure
Collibra
Alation
Atlan
Microsoft Purview
Great Expectations
Monte Carlo

Job description

Odyssey Logistics & Technology Corporation is seeking a Director of Data Governance in Charlotte, NC. The role leads enterprise data stewardship, quality, compliance, and AI readiness, building a federated governance framework across divisions and shared services.

Collaborate with data engineering and data science to turn data governance into a business enabler, delivering authoritative RO records, automated cataloging, and guardrails for production AI/ML.

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