Data Governance Analyst
New
PortugalFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 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
- Required Skills
- JiraConfluenceServiceNowNotion
Requirements
- 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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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).
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