Senior Specialist - Knowledge Semantics and AI-Ready Content
Red Bull · Elsbethen
Job description
About the role
Red Bull's Global Data Knowledge Management team is looking for a Senior Specialist to make enterprise knowledge ready for the next generation of AI. You will turn unstructured information into trusted, accessible and machine-readable knowledge that powers intelligent search and agentic AI, driving AI-readiness standards and shaping content governance.
Key responsibilities
- Develop and run AI-assisted quality assurance processes across the lifecycle of unstructured data and knowledge assets, combining preventive standards and monitoring.
- Develop and maintain measurable AI-readiness criteria and certification for structure, metadata, ownership, currency, accessibility and semantic clarity.
- Facilitate federated governance of unstructured data and knowledge assets across priority repositories and domains.
- Build persona-based reports and dashboards, monitor knowledge assets and track remediation to improve governance, quality checks, templates, training and platforms.
- Manage taxonomy and ontology across priority repositories, defining modelling standards and governance so that business concepts support metadata enrichment, classification, knowledge graphs, semantic search and agentic AI.
- Develop machine-readable templates and AI-assisted authoring standards for policies, procedures, guidelines, knowledge articles and contracts, including guardrails, approved use cases, prompt patterns, human review and source traceability.
Required profile
- Degree in information science, knowledge management, linguistics, cognitive science, data science, computer science or a related field.
- Experience applying semantic technologies and governed knowledge to generative AI, RAG or agentic AI use cases.
- Analytical mindset to assess content performance, identify gaps and drive improvements.
- Ability to translate business needs into ontologies and clear content structures.
Required skills
- Strong practical knowledge of RDF, OWL, SKOS and SHACL and ontology management.
- Python and SPARQL; SQL is an advantage.
- Power BI experience.
- Experience with AI-enabled content workflows, semantic search, automated classification, metadata enrichment or AI features for knowledge platforms is an advantage.
The stated minimum salary under the collective agreement is EUR 2,509 gross per month, but the actual compensation is based on market-oriented salaries.
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Published 7 hours ago
Expires 1 month from now
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Red Bull
Elsbethen