Data Governance Lead

Artifintech; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a senior data governance leader to own and scale our enterprise framework across cloud and analytics platforms. You will design policies, standards, metadata strategy and data stewardship programs to enable trusted data across business units.

You will partner with cross-functional teams, govern Databricks Unity Catalog and AWS data services, ensure privacy/compliance, and mentor data stewards while driving platform modernization and

Qualifications

• 7+ years in data governance or data management
• Hands-on with Databricks and Unity Catalog as core platform
• Experience with AWS data services (S3, Glue, Redshift)
• Knowledge of MDM, metadata management, and data quality
• Ability to govern across multi-cloud or hybrid environments
• Familiarity with data privacy/compliance (PII, GDPR)
• Strong communication translating governance to non-technical audiences

Responsibilities

• Develop and own 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
• Define catalog structure, 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 with scalable models and reusable governance patterns
• Partner with cross-functional teams to ensure data privacy, security, and regulatory compliance
• 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

Skills

Data governance

Cross-functional collaboration

Communication

Policy design

Tools

Databricks

Unity Catalog

Collibra

Alation

Job description

• 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

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract