Data Governance Tech Lead – AI/ML Compliance

This is a fully remote position, open to applicants in Portugal.

📋 Description

• Take ownership of and uphold the organization's data classification framework.

• Establish enforceable guidelines for AI tools across all levels of risk.

• Assist in the triage of AI tool requests.

• Maintain an up-to-date AI registry.

• Coordinate evaluations of vendor data handling practices.

• Ensure comprehensive documentation of PII and sensitive data guardrails prior to implementation.

• Oversee active tools to monitor for data boundary deviations.

• Identify shadow AI and report anomalies in access patterns to the Security and Data Governance teams.

• Collaborate closely with Data Engineering to ensure well-governed data pipelines and access controls.

• Work with the Legal team on updates to regulatory requirements.

• Partner with HR to enhance data literacy within AI training programs.

• Prepare materials for the Governance Board.

• Maintain internal policies and procedural guides.

• Monitor regulatory trends, including GDPR, EU AI Act, NIST AI RMF, and ISO 42001.

⛳️ Requirements

• 3-5 years of experience in data governance, data management, or compliance roles.

• 1-2 years of experience specifically in documenting enterprise-level data policies or classification frameworks.

• Experience in AI/ML governance is highly advantageous.

• Proficient in managing intake and workflows using ServiceNow or Jira.

• Skilled in utilizing Confluence or Notion for managing policies and processes.

• Familiarity with registry tools such as Airtable or similar spreadsheet-based systems.

• Comfortable using Miro for process documentation and cross-functional workshops.

• Proactively identifies gaps and addresses them independently, demonstrating exceptional organizational skills.

• Confident in collaborating across all organizational levels, from Data Engineering to the Governance Board.

• Experience in managing processes that involve multiple stakeholders.

• Ability to simplify complex data policies, classification principles, and regulatory concepts for non-technical audiences.

• Comfortable analyzing registry data, usage metrics, and risk criteria to draw actionable insights.

• Clear communicator with the ability to work collaboratively with diverse teams.

• Fluent in English (mandatory for leadership and client communication).

🏝️ Benefits

• Empathy.

• Self-organization.

• Teaching opportunities.