New 
Taxonomist/KM Manager
 Spectraforce Technologies | |
 United States, Texas, Austin | |
| 2435 East Riverside Drive (Show on map) | |
 May 14, 2026 | |
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Job Role : Taxonomist/KM Manager Duration: 12 months Location: Hybrid in Austin, TX onsite 4 x weekly Preferred Qualifications: * Experience implementing or governing taxonomy/ontology programs in financial services, healthcare, or large-scale enterprise environments * Familiarity with AI-adjacent knowledge representation - including knowledge graph integration with LLMs, RAG pipelines, or semantic search architectures * Experience with localization or multilingual taxonomy design across multiple locales * Exposure to Agile or DevSecOps practices in a data engineering or platform context * Track record of building taxonomy/ontology programs from greenfield - defining scope, tooling, governance, and stakeholder buy-in * Experience with authority control, entity resolution, or identity management Role Description by domains: Taxonomy & Controlled Vocabulary Design * Design, build, and maintain enterprise taxonomies, controlled vocabularies, and hierarchical classification systems across content and data domains * Conduct content inventories, gap analyses, and requirements gathering to inform taxonomy structure and scope * Define vocabulary standards, preferred/alternate terms, broader/narrower relationships, and cross-references aligned with industry standards (ANSI/NISO Z39.19, ISO 25964) * Develop and enforce metadata schemas and tagging guidelines to support consistent content classification across platforms * Train stakeholders and content teams in taxonomy application and metadata best practices Ontology & Knowledge Graph Engineering * Design and implement ontologies using Semantic Web standards (RDF/RDFS, OWL, SKOS) to model domain knowledge and entity relationships * Develop and maintain knowledge graphs that integrate taxonomies, ontologies, and instance data to support AI, search, and analytics use cases * Create, validate, and govern ontology change requests; own ontology tooling requirements and process improvements * Perform authority control and entity management for organizational entities (people, organizations, products, concepts) * Apply validation and reasoning standards (SHACL, SPIN) to ensure ontology integrity and consistency Knowledge Management & Information Architecture * Define and evolve the organization's knowledge architecture - the structures, systems, and processes that enable knowledge creation, classification, retrieval, and reuse * Partner with data management, search, product management, ML, and engineering teams to implement standardized vocabularies and semantic models in data consumption experiences * Map unstructured data to structured semantic models that integrate with data infrastructure and AI/ML pipelines * Establish metadata standards, modeling guidelines, and data lineage documentation in collaboration with data governance and engineering teams * Support knowledge organization workshops to align enterprise taxonomy and data models across business units Governance & Stakeholder Enablement * Develop and manage taxonomy and ontology governance processes, including change management, review cycles, and versioning * Perform regular audits of information architecture to maintain compliance and optimize classification performance * Write process documentation, governance standards, and training materials for taxonomy and metadata programs * Serve as a cross-functional SME, bridging taxonomy design with data engineering, content strategy, and product teams * Communicate ontology and taxonomy design decisions to both technical and non-technical audiences, including senior leadership Core Expertise Requirements * 5-7+ years in taxonomy design ontology engineering, knowledge management, or information architecture * Demonstrated experience designing and governing enterprise-scale taxonomies and controlled vocabularies * Proficiency with Semantic Web standards: RDF/RDFS, OWL, SKOS, SPARQL, SHACL * Experience developing or contributing to knowledge graphs or ontology-backed data models * Familiarity with metadata schema standards (Dublin Core, Schema.org, BIBFRAME, or domain equivalents) * Background in data modeling methodologies (conceptual, logical, physical; 3NF, Data Vault, XML Schema) * Experience with industry ontology frameworks relevant to the domain (e.g., FIBO for financial services, ISO 20022) Education * Bachelor's or Master's degree in Library & Information Science, Computer Science, Linguistics, Information Systems, or a related field * Equivalent professional experience in knowledge engineering or taxonomy management accepted Proficiency Needed Tools & Technologies Ontology & Taxonomy Management * PoolParty Semantic Suite * Protege * TopBraid Composer / TopQuadrant products * Palantir Foundry Semantic Web & Data Standards * RDF / RDFS / OWL / SKOS * SPARQL, SHACL, SPIN * Schema.org, Dublin Core, BIBFRAME * FIBO, ISO 20022 (financial domain) Data & Engineering (Good to have - not needed per se) * Python, R, or equivalent scripting * SQL / GraphQL * GraphDB or equivalent triplestore * Git / CI-CD pipelines * JSON / structured data formats Content & Knowledge Platforms (Good to have - not needed per se) * CMS and DAM platforms * Enterprise knowledge management systems | |