Data Governance Lead Job at Cloud Analytics Technologies LLC, Dallas, TX

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  • Cloud Analytics Technologies LLC
  • Dallas, TX

Job Description

Key Responsibilities

  • Develop and own the enterprise data governance framework, including policies, standards, metadata strategy, and data stewardship processes.
  • Lead governance across cloud and analytics platforms with priority on Databricks and Unity Catalog, followed by AWS data services and Dataiku.
  • Define catalog structure, classification models, tagging, and access rules across multiple business domains.
  • Implement metadata management, lineage tracking, and data quality controls to improve trust and usability.
  • Drive unification of data across fragmented systems by designing scalable models, harmonized definitions, and reusable governance patterns.
  • Partner with cross-functional teams to ensure data privacy, security, and regulatory compliance (e.g., PII, GxP, HIPAA where applicable).
  • Oversee data access controls, entitlements, and policy enforcement across analytic environments.
  • Establish processes for issue management, remediation, and continuous improvement.
  • Mentor data stewards and support adoption of governance standards across business teams.
  • Support platform modernization and enable analytics, AI/ML, automation, and self-service use cases.

Required Skills & Experience

  • 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) as the primary platform requirement.
  • Experience with AWS data services (e.g., S3, Glue, Lake Formation, Redshift, IAM).
  • Experience with data governance workflows, tooling, and model management.
  • Strong understanding of MDM, metadata management, and data quality frameworks.
  • Proven success governing data across fragmented systems, complex pipelines, and multi-cloud or hybrid environments.
  • Familiarity with data privacy and compliance (PII, PHI, GxP, GDPR, etc.).
  • Ability to work across business and technical teams, influence without authority, and build alignment.
  • Excellent communication skills, with ability to translate governance concepts for non-technical audiences.

Preferred Qualifications

  • Experience in life sciences, healthcare, or regulated industries.
  • Background with product-oriented data platforms or customer-facing data services.
  • Knowledge of workflow tools (Jira, Confluence) and governance platforms (Collibra, Alation, data.world preferred but not required).
  • Certifications in Databricks, AWS, or data governance frameworks

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