Data Governance / Business Analyst Consultant

Description

The company is a global partner for AI-first digital transformation and engineering, with more than 25 years in the field, about 5,000 staff, and teams in 16 countries.

It works across artificial intelligence, data and cloud, intelligent automation, and digital products, pairing deep technical skill with a focus on engineering quality.

The CEE region has close to 1,000 specialists building applications, data platforms, and AI solutions for well-known clients. They work with AWS, Azure, GCP, Databricks, and Snowflake, take a consulting approach, and share knowledge widely.

Responsibilities

• Define and write up Data Governance operating models and business processes.
• Create processes for handling business terms, business and technical metadata, and data products.
• Set up frameworks covering data ownership, data domains, and accountability.
• Draft data classification standards and help meet regulatory and security obligations.
• Link business context to technical data assets.
• Design and document data lineage and impact analysis processes.
• Gather requirements from business and technical stakeholders and shape target-state solutions.
• Help roll out and adopt governance processes in the Knowledge Catalog platform.
• Prepare project, operational, and governance documents.
• Run workshops and training sessions, and pass on knowledge.
• Support organizational change and user adoption.

Requirements

• Experience in Data Governance initiatives within large organizations.
• Solid grasp of Data Management principles and frameworks.
• Background in business analysis, requirements gathering, and process modeling.
• Able to document business processes clearly.
• Knowledge of metadata management concepts and practices.
• Understand business glossaries, data dictionaries, and data products.
• Experience with data ownership and stewardship models.
• Know data classification and regulatory compliance requirements.
• Strong stakeholder management and communication skills.
• Experience writing documentation and running workshops.
• Work well in cross-functional teams.
• Hands-on experience with enterprise data catalog solutions.
• Working knowledge of Google Knowledge Catalog.
• Know data lineage and impact analysis methods.
• Experience in financial services or another regulated industry.
• Understand data quality management practices.
• Have delivered user training and change management work.

Conditions

You must work from the European Union region and hold a work permit.

Hiring steps: CV review, HR call, interview, client interview, then decision.