Own and maintain the organization's data classification schema
Define enforceable rules for AI tools across all risk tiers
Support AI tool request triage
Maintain the AI registry
Coordinate vendor data handling assessments
Ensure robust PII and sensitive data guardrails are documented before go-live
Monitor active tools for data boundary drift
Detect shadow AI and flag anomalies in access patterns to Security and Data Governance teams
Partner closely with Data Engineering to ensure governed data pipelines and access controls
Coordinate with Legal on regulatory changes
Collaborate with HR to build data literacy within AI training programs
Prepare Governance Board materials
Maintain internal policies and process guides
Track regulatory developments including GDPR, EU AI Act, NIST AI RMF, and ISO 42001

3-5 years of experience in data governance, data management, or compliance roles
1-2 years specifically documenting enterprise-level data policies or classification schemas
Experience with AI/ML governance is a strong plus
Comfortable managing intake and workflows using ServiceNow or Jira
Proficient with Confluence or Notion for policy and process management
Experience with registry tools like Airtable or equivalent spreadsheet-based systems
Comfortable with Miro for process documentation and cross-functional workshops
Naturally identifies gaps and addresses them without prompting, with exceptional organizational skills
Confident working across all organizational levels from Data Engineering to Governance Board
Experience managing processes involving multiple stakeholders
Ability to translate complex data policy, classification principles, and regulatory concepts into plain language for non-technical audiences
Comfortable working with registry data, usage metrics, and risk criteria to draw actionable conclusions
Clear communication and ability to work seamlessly with diverse teams
Fluent English (mandatory for leadership and client communication)

Data Governance Tech Lead – AI/ML Compliance

Key skills