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Content StrategistCella Inc • Austin, Texas, United States
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Content Strategist

Cella Inc
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
Jetzt Bewerben

Über

Location: Hybrid in Austin, TX (onsite 4x weekly). Hours: 8 AM – 5 PM. Compensation Range: $48.75 - $53.75 per hour. Contract Strategist
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. Key Responsibilities
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 ANSI/NISO Z39.19 and 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. 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. 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. 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). 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. 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. 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. Data & Engineering (good to have): Python, R, or equivalent scripting; SQL; GraphQL; GraphDB or equivalent triplestore; Git; CI/CD pipelines; JSON. Content & Knowledge Platforms (good to have): CMS and DAM platforms; enterprise knowledge management systems. Benefits
Medical, prescription, dental, vision coverage. AD&D and life insurance offerings. Short‑term disability. 401(k) plan. Equal Opportunity Employer
We are an Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Cella, a Randstad Digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
HRsupport@randstadusa.com . Location/Region: Austin, TX (78758)
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  • Austin, Texas, United States

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  • English
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