O Castro
Position: Servicio Técnico para Soporte de Knowledge Delivery Lead No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad. Location: Spain or Portugal (Remote) Duration: Permanent/ Freelence Description: Lead end-to-end delivery of the Knowledge Graph (KG) as a stable, usable, and integrated product component within the Operations Knowledge Fabric and broader product ecosystem. Own the KG delivery lifecycle from data/ontology modeling through technical readiness , integration , and handover to consuming teams. Service Overview: This role focuses on leading knowledge graph projects using modern graph technologies and semantic frameworks. Responsibilities include: Building robust graph-based architectures Integrating semantic models Ensuring seamless interaction with AI-driven components Working with infrastructure architecture Optimizing data pipelines Implementing best practices for scalability and security Collaboration within agile teams and maintaining high-quality standards are key aspects of this role. Responsibilities: Ensure the KG is fit for purpose : validate ontology and schema against product requirements and prioritized use cases. Coordinate data ingestion, transformations, enrichment, indexing, and inference processes , ensuring data quality and graph integrity. Define and manage boundaries and handoff : APIs/endpoints, export mechanisms, versioning strategy, documentation, sample queries, usage guidelines, and known limitations. Align KG integration with product roadmaps and platform architecture ; manage dependencies across systems and teams. Track and communicate progress, milestones, risks, and mitigation plans to stakeholders. Ensure non-functional readiness : performance, scalability, reliability, monitoring, security, and compliance. Act as primary point of contact for the KG component, articulating its value and constraints. Drive and enforce ways of working : collaboration with data engineers, ontologists, product managers, QA, and platform teams. Qualifications: Must Have: Strong understanding of data management : lifecycle, quality, metadata, governance. Solid knowledge of semantics : vocabularies, taxonomies, ontologies, with practical experience in ontology-driven modeling. Proven experience leading delivery of complex data or semantic/knowledge-graph initiatives in multi-team environments. Ability to bridge business and technology : translate requirements into semantic models and delivery plans. Strong stakeholder management and communication skills . Nice to Have: Hands-on experience with Cognite (e.g., Cognite Data Fusion, Cognite Data Model). Experience with semantic web / KG technologies (RDF/OWL, SPARQL, graph databases) and modern data engineering stacks. xcskxlj Background in pharma, manufacturing, or industrial operations with exposure to semantic standards. Additional Details: Work Mode: 100% remote (Spain & Portugal) Language: C1 English level required