Company Overview
Group/Division
Job Description/Preferred Qualifications
Were seeking a seasoned Content Ontologist to design and govern the semantic foundation of our technical publications: ontologies taxonomies metadata models and knowledge graphs. Youll work closely with our Information Architect and Technical Writers to make DITA/XML content AIready highly discoverable and reusable across channels.
Help shape the semantic backbone that powers reuse dynamic delivery and AIassisted authoring across a global tech publications organizationwhile coaching a community of writers to embed intelligence in every topic and map.
Key Responsibilities
Design ontologies & knowledge graphs (RDF/OWL/SKOS) that model products subsystems procedures hazards roles tasks and relationships.
Own taxonomy & metadata governance: controlled vocabularies hierarchical/associative taxonomies subject schemes and term authority lists.
Embed structure in DITA/XML: advise on specializations/constraints; standardize metadata application at topic/map granularity for reuse filtering and personalization.
Improve search & AIreadiness: define semantic signals/attributes that boost retrieval recommendations agent checks and automated validation.
Enable CCMS workflows: partner with tools engineers to implement taxonomy pickers dropdowns inheritance bulk term application and quality gates.
Coach writers & editors: training usage playbooks validation checklists and periodic audits/bulk remediations.
Measure content health: define data-quality rules; drive continuous improvement with clear KPIs and reports.
Minimum Qualifications
Bachelors or Masters degree in Engineering or Physics/Mathematics with specialization in Information Science/Ontology.
Experience: 1015 years in technical content information architecture or knowledge engineeringlarge complex environments.
Deep expertise in DITA/XML metadata controlled vocabularies and taxonomy design; handson with subject schemes.
Working knowledge of RDF/OWL/SKOS SPARQL XPath/XQuery (or similar) plus JSON/YAML for model exchange/validation.
Tooling fluency: Oxygen XML DITAOT and a CCMS (e.g. IXIASOFT or equivalent); familiarity with publishing/search ecosystems (e.g. Fluid Topics or similar).
Proven ability to partner with Information Architects and Technical Writers influence without authority and lead governance forums.
Exceptional communicationtranslate complex semantic concepts into practical guidance for writers and stakeholders.
We offer a competitive family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
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