Location:
Madrid / Hybrid
Area: Transformation / AI / Knowledge Management
About the project:
We are looking for a specialist in knowledge management and semantic architecture to lead the structuring and organization of corporate information with a focus on its utilization through Artificial Intelligence solutions.
The position is oriented toward the creation of metaknowledge, document curation, and semantic modeling of corporate information.
The ideal profile will combine the skills of conceptual analysis, structuring knowledge domains, and defining ontologies, enabling the transformation of dispersed information into organized, reusable knowledge ready for generative AI systems and RAG environments.
Mission of the role:
This role will be responsible for analyzing the organization's knowledge base, structuring the ontology of various domains, and defining models for document classification and semantic relationships, ensuring the accurate ingestion and utilization of information by AI systems.
The individual will act as a bridge between business, knowledge, and technology, ensuring coherence, governance, and quality in the organization of corporate knowledge.
Main responsibilities:
- Analyze and understand the existing corporate knowledge base.
- Design and structure ontologies, taxonomies, and semantic models of information.
- Define relationships between knowledge domains and metadata structures.
- Create procedures and criteria for document curation and knowledge management.
- Prepare and structure documentation for accurate ingestion and utilization by generative AI solutions and RAG architectures.
- Ensure coherence, quality, and governance of corporate knowledge.
- Identify redundancies, inconsistencies, and information gaps.
- Collaborate with business, data, and technology teams to align the knowledge structure with organizational needs.
- Participate in enterprise search, semantic search, and knowledge retrieval initiatives.
- Contribute to the creation of scalable reusable knowledge models.
