Data Steward & Governance Advocate (Hybrid)

Capgemini Invent; Wrocław; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Yearly financial bonus

Private medical care with Medicover

Job summary

Capgemini Invent in Poland is seeking a Data Steward to support enterprise-wide data governance initiatives, focusing on improving data ownership, consistency and business trust in data assets across multiple domains.

You will maintain and improve data governance processes, support business teams in defining critical data assets, manage glossaries and metadata, ensure consistent definitions, and collaborate with Data Governance, Data Quality and business teams.

Qualifications

• 3–5+ years of experience in Data Governance, Business Analysis or Data Management.
• Understanding of data stewardship and governance principles.
• Experience maintaining business glossaries and metadata repositories.
• Experience working with business stakeholders and data owners.
• Strong documentation and communication skills.

Responsibilities

• Maintain and improve data governance processes and standards.
• Support business teams in defining critical data assets.
• Manage business glossaries, metadata and data ownership structures.
• Ensure consistent use of business definitions across domains.
• Work closely with Data Governance, Data Quality and business teams.
• Support data stewardship frameworks and governance adoption.
• Monitor compliance with data standards and policies

Skills

Data governance

Stakeholder management

Documentation

Glossaries & metadata

Data ownership

Job description

Capgemini Invent in Poland is seeking a Data Steward to support enterprise-wide data governance initiatives, focusing on improving data ownership, consistency and business trust in data assets across multiple domains.

You will maintain and improve data governance processes, support business teams in defining critical data assets, manage glossaries and metadata, ensure consistent definitions, and collaborate with Data Governance, Data Quality and business teams.