Data Governance / Business Analyst Consultant

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

Your profile:

• Experience in Data Governance initiatives within large organizations.
• Strong understanding of Data Management principles and frameworks.
• Experience in business analysis, requirements gathering, and process modeling.
• Ability to document business processes clearly.
• Knowledge of metadata management concepts and practices.
• Understanding of business glossaries, data dictionaries, and data products.
• Experience with data ownership and stewardship models.
• Knowledge of data classification and regulatory compliance requirements.
• Strong stakeholder management and communication skills.
• Experience preparing documentation and conducting workshops.
• Ability to work effectively in cross-functional teams.

Work from the European Union region and a work permit are required.

Nice to have:

• Experience with enterprise data catalog solutions.
• Familiarity with Google Knowledge Catalog.
• Knowledge of data lineage and impact analysis methodologies.
• Experience in financial services or another regulated industry.
• Understanding of data quality management practices.
• Experience delivering user training and change management activities.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision