Specialist

Company 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.

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.

Job Description

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.

Qualifications

Degree in information science, knowledge management, linguistics, cognitive science, data science, computer science, or a related field.