Описание

Capgemini is a integral 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.

Задачи

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

Требования

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

Условия

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

📌 data analyst in data governance (Madrid)
🏢 Enfint
📍 Madrid