Company Overview
Group/Division
Job Description/Preferred Qualifications
We’re seeking a seasoned Content Ontologist to design and govern the semantic foundation of our technical publications: ontologies, taxonomies, metadata models, and knowledge graphs. You’ll work closely with our Information Architect and Technical Writers to make DITA/XML content AI‑ready, highly discoverable, and reusable across channels.
Help shape the semantic backbone that powers reuse, dynamic delivery, and AI‑assisted authoring across a global tech publications organization—while 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 & AI‑readiness: 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: 10–15 years in technical content, information architecture, or knowledge engineering—large, complex environments.
Deep expertise in DITA/XML, metadata, controlled vocabularies, and taxonomy design; hands‑on 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, DITA‑OT, 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 communication—translate 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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