More jobs:
Content Strategist
Job in
Austin, Travis County, Texas, 78758, USA
Listed on 2026-06-08
Listing for:
Cella
Full Time
position Listed on 2026-06-08
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist
Job Description & How to Apply Below
Hybrid in Austin, TX onsite 4 x weekly
Hours:
8AM - 5
PM Compensation Range: $48.75 - 53.75 per hour
We are seeking a Contract Strategist to design, scale, and govern our enterprise data fabric. In this highly technical and strategic role, you will be the foundational architect of our knowledge management strategy, bridging the gap between unstructured content, structured data pipelines, and next-generation AI/ML applications. You will own the end-to-end lifecycle of our data schemas-evolving simple taxonomies into robust, machine-readable knowledge graphs that power enterprise search, discovery, and analytics.
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.
Qualifications:
• 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,…
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