Data Governance Analyst (Data Steward)

Anonymous; Lisboa; On-site; EUR 40,000 - 65,000; Full time

Job summary

Anonymous is seeking a Data Steward to help operate and scale our enterprise data governance framework in Lisbon, Portugal. You will ensure critical data assets are clearly defined, owned, catalogued, classified and monitored for quality, partnering with data owners, analytics teams and engineers to build trust in data across the organization.

In this role, you will define ownership and usage rules, maintain the data catalog and business glossary, set quality expectations, and drive governance

Qualifications

• 3+ years in data stewardship, governance, or analytics.
• Strong grasp of ownership, metadata, lineage, classification, and glossary management.
• Experience documenting terms, definitions, data flows and governance procedures.
• Hands-on with data cataloging or governance platforms (Unity Catalog preferred or Purview).
• Working knowledge of SQL, Power BI, Excel and Microsoft 365 to inspect data and validate definitions.
• Excellent English communication with technical and non-technical audiences.

Responsibilities

• Define and maintain data ownership, stewardship responsibilities, business terms and usage rules.
• Maintain and enrich the data catalog and glossary with metadata and lineage.
• Set data quality expectations and validation criteria with owners and engineers.
• Monitor quality issues, coordinate root-cause analysis and remediation.
• Review assets against governance standards: naming, sensitivity, access, lifecycle.
• Facilitate workshops to align on definitions, ownership and quality thresholds.
• Build guidance, templates and training to drive stewardship adoption.
• Partner to embed stewardship into strategic data initiatives.

Skills

Data governance

Data ownership

Data lineage

Data classification

Business glossary management

Data definitions

Data flows

Governance procedures

Communication (English)

Tools

Unity Catalog

Microsoft Purview

SQL

Power BI

Excel

Microsoft 365

Job description

We're hiring a Data Steward to help operate and scale our enterprise data governance framework. You'll make sure critical data assets are clearly defined, properly owned, catalogued, classified and monitored for quality — partnering with data owners, business stakeholders, architects, engineers and analytics teams to build trust in data across the organisation.

What you'll do

Define, document and maintain data ownership, stewardship responsibilities, business terms and usage rules across your assigned domains Maintain and enrich the enterprise data catalog and business glossary — keeping metadata, classifications, data lineage and ownership accurate Work with data owners, analysts and engineers to set data quality expectations, business rules and validation criteria Monitor data quality issues, coordinate root-cause analysis, track remediation and escalte recurring or high-impact issues through governance forums Review new and changed data assets against governance standards — naming conventions, definitions, sensitivity classification, access rules, lifecycle Facilitate workshops with business and technical stakeholders to align on definitions, ownership and quality thresholds Build the guidance, templates and training that drive stewardship adoption across domain teams Partner with the Data Governance & Business Analyst Manager and Data Architect to embed stewardship into strategic data initiatives What you'll bring 3+ years in data stewardship, data governance, data management, data quality, business analysis or analytics Strong grasp of governance concepts — ownership, metadata management, data lineage, data classification, business glossary management A track record of documenting business terms, data definitions, data flows and governance procedures in a structured, reusable way Hands-on with a data cataloging or governance platform — Unity Catalog (preferred) or Microsoft Purview Working ability in SQL, Power BI, Excel and Microsoft 365 to inspect data and validate definitions Excellent communication and facilitation in English, with technical and non-technical audiences alike Ownership, autonomy and comfort managing multiple stewardship activities across a distributed, global team Nice to have: Experience on an enterprise-wide data governance implementation or inside a formal stewardship mode