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:
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.
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.
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.
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.
that matter most for this role:
In the 1980s Dietrich Mateschitz developed a formula known as the Red Bull Energy Drink. This was not only the launch of a completely new product, in fact it was the birth of a totally new product category.
The company beyond the canChasing our potential
Since the early days of Red Bull, an entrepreneurial mindset has always guided our approach to work and the environment we create:
Protect yourself from recruitment scams.
All legitimate Red Bull job opportunities are published on jobs.redbull.com. If you receive a suspicious email or message, we recommend not responding and checking our