Content Strategist Mid-Level

Job Title: Manager Taxonomist/ Knowledge Management - Hybrid

Duration (Contract): 12 Months

Client Location: Austin TX

Location Preference: Hybrid

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 organizations 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

Required Skills Experiences Education and Competencies:

• • Bachelors or masters degree in library & information science Computer Science Linguistics Information Systems or a related field
  • Equivalent professional experience in knowledge engineering or taxonomy management accepted
  • 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 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)
• 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

The hourly range for roles of this nature are $40.00 to $60.00/hr. Rates are heavily dependent on skills experience location and industry.

cyberThink is an Equal Opportunity Employer.