Description

You own the enterprise data governance framework, defining policies, standards, metadata strategy, and data stewardship processes.

Responsibilities

• Lead governance across cloud and analytics platforms, focusing on Databricks and Unity Catalog, then AWS services and Dataiku.
• Define catalog structure, classification models, tagging, and access rules across business domains.
• Implement metadata management, lineage tracking, and data quality controls to improve data trust.
• Drive data unification by designing scalable models and harmonized definitions across fragmented systems.
• Partner with teams to enforce data privacy, security, and regulatory compliance, overseeing access controls and policy enforcement.

Required Skills

• 7+ years in data governance, data management, or enterprise data architecture.
• Hands-on expertise with Databricks and Unity Catalog (catalog design, access policies, lineage, classification/tagging).
• Experience with AWS data services (S3, Glue, Lake Formation, Redshift, IAM).
• Strong understanding of MDM, metadata management, and data quality frameworks.
• Proven success governing data across fragmented systems and complex pipelines.
• Familiarity with data privacy and compliance (PII, PHI, GxP, GDPR, etc.).
• Ability to influence without authority and build alignment across technical and business teams.
• Experience with AI/ML and Automation enablement within data platforms.

Key Skills

Education

Bachelor's or Master's degrees