Data Governance Tech Lead

• Data Classification & Permission: Own and maintain the organization's data classification schema, defining enforceable rules for AI tools across all risk tiers, conducting classification checks, and serving as the authoritative voice on data permissibility.
  
• AI Intake & Risk Support: Support the triage of incoming AI tool requests, maintain the AI registry's data fields, coordinate vendor handling assessments, and ensure robust PII and sensitive data guardrails are documented before go-live.
  
• Portfolio Management & Compliance: Monitor active tools for data boundary drift, detect shadow AI, run quarterly duplicate solution reviews, and flag anomalies in access or usage patterns to Security and Data Governance.
  
• Cross-Functional Collaboration: Partner closely with Data Engineering to ensure governed data pipelines and access controls. Coordinate with Legal to incorporate regulatory changes, and with HR to build data literacy within AI training programs.
  
• Governance Operations: Prepare crucial data governance input for Governance Board materials, maintain internal policies and process guides, and track regulatory developments (GDPR, EU AI Act, NIST AI RMF, ISO 42001).

Requirements

• Has Solid Experience: Brings 3 to 5 years in a data governance, management, or compliance role, with 1 to 2 years specifically documenting enterprise-level data policies or classification schemas. Exposure to AI/ML governance is a strong plus.
  
• Is a Proactive Self-Starter: You naturally identify gaps and address them without waiting to be asked, while possessing exceptional organizational skills to manage a high volume of concurrent requests.
  
• Drives Cross-Functional Alignment: You are confident working across all levels—from Data Engineering to the Governance Board—and are experienced in managing structured review processes involving multiple stakeholders.
  
• Has Exceptional Communication Skills: You have the ability to translate complex data policy, classification principles, and regulatory concepts into plain language for a broad, non-technical audience.
  
• Has an Analytical Mindset: You are comfortable working with registry data, usage metrics, and risk criteria to draw actionable conclusions.
  

• ITSM Platforms: Comfortable managing intake and workflows using tools like ServiceNow or Jira.
  
• Documentation & Policy Management: Proficient with tools such as Confluence or Notion for process management.
  
• Data Management & Registry: Experience working with registry tools such as Airtable or equivalent spreadsheet-based systems.
  
• Collaboration & Workshops: Comfortable with collaboration tools such as Miro for process documentation and cross-functional workshops.
  
• Regulatory Frameworks (Advantageous): Familiarity with standards and frameworks such as GDPR, NIST, ISO 42001, or the EU AI Act.
  
• Data Platforms (Nice to have): Familiarity or experience working with data catalog or data lineage tooling.