Data analyst in data governance

Описание:

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