data analyst in data governance

Capgemini is a global partner in business and technology transformation. It helps organizations accelerate their transition to a digital and sustainable world through artificial intelligence, generative AI, cloud, data, strategy, design, and engineering solutions.

• Define, implement, and evolve data governance and semantic information management models;
• Design and maintain business models, taxonomies, glossaries, catalogs, and data standards;
• Lead the definition of corporate semantic content;
• Ensure the consistency, quality, and reuse of information assets;
• Train, engage, and support business users;
• Promote data governance best practices and a data-driven culture;
• Translate complex metadata, semantics, and data governance concepts into understandable methodologies and procedures for business profiles.

• Demonstrable experience in Data Governance projects, especially semantic management and metadata;
• Experience working with Collibra;
• Solid knowledge of defining and maintaining business glossaries, taxonomies and ontologies, data catalogs, conceptual and semantic models, and governance policies, standards, and procedures;
• Experience managing and administering functional and business metadata;
• Ability to define and document data standards and quality criteria;
• Experience delivering training and facilitating sessions with business users;
• Communication and facilitation skills for working with multidisciplinary teams and stakeholders at different levels;
• Analytical skills and a transversal view of business processes and information;
• Nice to have: Certifications or specialized training in Data Governance, Data Management, or Data Governance; knowledge of DAMA-DMBOK or similar frameworks; experience in Data Catalog, Data Quality, or Data Stewardship initiatives; knowledge of semantic modeling, linked data, or advanced corporate knowledge management; experience in data-related digital transformation and change management projects; knowledge of data architecture and analytical ecosystems; experience in complex corporate environments and organizations with mature data governance models.

• Training and certifications are available;
• Hybrid work model focused on work-life balance;
• Training in cloud technologies, data governance, and visualization;
• Participation in projects involving generative AI, Business AI, and emerging data technologies;
• Diverse and challenging projects across multiple sectors;
• Autonomy, mentoring, certifications, and opportunities to expand the role within the Data & AI area;
• Inclusive and non-discriminatory environment.