Senior Specialist – Knowledge Semantics and AI-Ready Content

Red Bull; Elsbethen; On-site; EUR 25,000 - 31,000; Full time

Job summary

Red Bull is seeking a semantics expert to drive AI-readiness standards and governance for enterprise knowledge. You will turn unstructured data into structured, machine-readable knowledge to power intelligent search and agentic AI.

You will lead taxonomy, ontology management, and AI-assisted content authoring, collaborating with business and technology teams across Europe, with a compensation package well above the minimum and a strong focus on diversity and inclusion.

Qualifications

• Degree in information science, knowledge management, linguistics, cognitive science, data science, computer science, or a related field.
• Experience applying semantic technologies to generative AI, RAG, or agentic AI use cases.
• Analytical mindset to assess content performance and drive improvements.
• Ability to translate business needs into ontologies and clear content structures.
• Strong knowledge of RDF, OWL, SKOS, SHACL and ontology management.

Responsibilities

• CONTENT QUALITY FRAMEWORKS AND PROCESS: Develop AI-assisted quality assurance for unstructured data and knowledge assets.
• INSIGHTS, MONITORING AND CONTINUOUS IMPROVEMENTS: Build reports and dashboards to expose gaps and drive fixes.
• TAXONOMY, ONTOLOGY AND SEMANTIC MANAGEMENT: Define modelling standards and governance for metadata and knowledge graphs.
• AI-ASSISTED CONTENT AUTHORING: Create machine-readable templates and authoring standards with guardrails and traceability.

Skills

Semantic technologies

Content governance

Ontology management

Data governance

Python

SPARQL

Power BI

AI-enabled workflows

Education

Information science or related field

Tools

Power BI

Python

SPARQL

SQL

Job description

Great AI starts with great knowledge.
You'll be at the forefront of making enterprise knowledge ready for the next generation of AI. With your expertise in semantics and content quality, you'll turn unstructured information into trusted, accessible, and machine-readable knowledge that powers intelligent search and agentic AI.

Great AI starts with great knowledge.
You'll be at the forefront of making enterprise knowledge ready for the next generation of AI. With your expertise in semantics and content quality, you'll turn unstructured information into trusted, accessible, and machine-readable knowledge that powers intelligent search and agentic AI.
As part of our Global Data Knowledge Management team, you'll drive AI-readiness standards, shape smarter content governance, and collaborate across business and technology teams to unlock the full potential of our enterprise knowledge.
All the responsibilities we’ll trust you with:
CONTENT QUALITY FRAMEWORKS AND PROCESS
You'll develop and run AI-assisted quality assurance processes across the lifecycle of unstructured data and knowledge assets, combining preventive standards and monitoring to strengthen accuracy, consistency, completeness, and trustworthiness. You'll develop and maintain measurable AI-readiness criteria and certification for structure, metadata, ownership, currency, accessibility, and semantic clarity, qualifying priority repositories and content types as trusted sources for people, retrieval, and agentic AI. You'll facilitate federated governance for unstructured data and knowledge assets across priority repositories and domains.
INSIGHTS, MONITORING AND CONTINUOUS IMPROVEMENTS
You'll build persona-based reports and dashboards that expose gaps and drive root-cause fixes. You'll monitor knowledge assets, track remediation, and use insights to improve governance, quality checks, templates, training, and platforms.
TAXONOMY, ONTOLOGY AND SEMANTIC MANAGEMENT
As a semantics expert, you'll operate taxonomy and ontology management across priority repositories and domains, defining modelling standards and governance to ensure consistency, interoperability, and alignment with business terminology. You'll translate business concepts into governed structures supporting metadata enrichment, classification, knowledge graphs, semantic search, retrieval-augmented generation, and reliable agentic AI.
AI-ASSISTED CONTENT AUTHORING
You'll develop machine-readable templates and AI-assisted authoring standards for priority content types, including policies, procedures, guidelines, knowledge articles, and contracts. You'll facilitate standards and guardrails for AI-assisted authoring, including approved use cases, guidance, prompt patterns, human review, source traceability, and quality controls.
Your areas of knowledge and expertise that matter most for this role:

• 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.
• 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.

Due to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is € 2,509 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary.
As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin.