Content Strategist - Mid-Level / Taxonomist

Judge Group

Austin, TX

JOB DETAILS
SALARY
$50–$55 Per Year
SKILLS
Agile Programming Methodologies, American National Standards Institute (ANSI), Artificial Intelligence (AI), Auditing, Borland ObjectWindows Library (OWL) Programming Libraries, Business Model, Change Management, Change Requests/Orders, Computer Science, Content Management Systems (CMS), Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Formats, Data Management, Data Modeling, Digital Asset Management Software (DAM), Documentation, Documentation Standards, Dublin Core, Financial Services, Gap Analysis, Git, GraphQL, Healthcare, ISO (International Organization for Standardization), Identity Data Management, Industry Standards, Information Architecture, Information Technology & Information Systems, JSON, Knowledge Engineering, Knowledge Management, Knowledge Management Systems, Knowledge Representation, Leadership, Library and Information Science, Linguistics, Localization, Machine Tool, Maintain Compliance, Metadata, Multilingual, Multiplatform/Cross-Platform, Ontology, Organizational Development/Management, Performance Tuning/Optimization, Process Improvement, Product Management, RDF (Resource Description Framework), Requirements Management, SPARQL, SQL (Structured Query Language), Semantic Search, Short Messaging Service (SMS), Standards Development, Structured Data, Taxonomies, Technical/Engineering Design, Unstructured Data, Use Cases, XML Schema
LOCATION
Austin, TX
POSTED
30+ days ago
Location: Austin, TX
Salary: $50.00 USD Hourly - $55.00 USD Hourly
Description: Taxonomist/KM Manager Job Role
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

Core Expertise
• 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
• Protégé
• 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

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    Contact: vfitzgerald@judge.com
    This job and many more are available through The Judge Group. Find us on the web at www.judge.com

    About the Company

    J

    Judge Group

    The Judge Group Inc., is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better. Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India.

    The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications. If you would like to learn more about The Judge Group visit www.judge.com or call toll free (800) 360-4474.

    COMPANY SIZE
    5,000 to 9,999 employees
    INDUSTRY
    Computer/IT Services
    FOUNDED
    1970
    WEBSITE
    https://www.judge.com