Enterprise Information Architect

Join Aquent Talent, partnering with a leading organization in the financial services sector, dedicated to empowering individuals and institutions through innovative solutions and robust information management. This is an opportunity to contribute to a dynamic environment where your expertise will directly shape how knowledge is organized, accessed, and leveraged across the enterprise.

We are seeking a visionary and highly skilled individual to step into a pivotal role, driving the evolution of our knowledge architecture and semantic capabilities. As a key contributor, you will be instrumental in designing, building, and governing the foundational systems that enable intelligent information discovery and utilization. Your work will directly impact our ability to deliver cutting-edge AI, search, and analytics solutions, ensuring our data and content are not just stored, but truly understood and actionable. If you are passionate about transforming complex information into accessible, strategic assets, this is your chance to make a profound impact.

**Responsibilities:**

* Design, build, and maintain enterprise taxonomies, controlled vocabularies, and hierarchical classification systems for diverse content and data domains.

* Conduct comprehensive content inventories, gap analyses, and requirements gathering to inform and refine taxonomy structures and scope.

* Define and enforce vocabulary standards, preferred/alternate terms, and relationships aligned with industry best practices.

* Develop and implement metadata schemas and tagging guidelines to ensure consistent content classification across all platforms.

* Train and empower stakeholders and content teams in effective taxonomy application and metadata best practices.

* Engineer and implement ontologies using Semantic Web standards (RDF/RDFS, OWL, SKOS) to precisely model domain knowledge and entity relationships.

* Develop and maintain robust knowledge graphs, integrating taxonomies, ontologies, and instance data to power AI, search, and analytics initiatives.

* Manage and govern ontology change requests, including tooling requirements and process improvements.

* Perform authority control and entity management for critical organizational entities (e.g., people, organizations, products, concepts).

* Apply validation and reasoning standards (e.g., SHACL, SPIN) to ensure the integrity and consistency of our ontological models.

* Define and continuously evolve the organization's knowledge architecture, encompassing systems and processes for knowledge creation, classification, retrieval, and reuse.

* Collaborate strategically with data management, search, product management, machine learning, and engineering teams to embed standardized vocabularies and semantic models into data consumption experiences.

* Map unstructured data to structured semantic models, integrating seamlessly with data infrastructure and AI/ML pipelines.

* Establish metadata standards, modeling guidelines, and data lineage documentation in partnership with data governance and engineering teams.

* Facilitate knowledge organization workshops to align enterprise taxonomy and data models across various business units.

* Develop and manage comprehensive taxonomy and ontology governance processes, including change management, review cycles, and versioning.

* Conduct regular audits of information architecture to ensure compliance and optimize classification performance.

* Create detailed process documentation, governance standards, and training materials for taxonomy and metadata programs.

* Serve as a cross-functional Subject Matter Expert, bridging taxonomy design with data engineering, content strategy, and product teams.

* Effectively communicate complex ontology and taxonomy design decisions to both technical and non-technical audiences, including senior leadership.

**Must-Have Qualifications:**

* 5-7+ years of dedicated experience in taxonomy design, ontology engineering, knowledge management, or information architecture.

* Demonstrated expertise in designing and governing enterprise-scale taxonomies and controlled vocabularies.

* Proficiency with Semantic Web standards, including RDF/RDFS, OWL, SKOS, SPARQL, and SHACL.

* Proven experience in developing or contributing to knowledge graphs or ontology-backed data models.

* Familiarity with key metadata schema standards (e.g., Dublin Core, Schema.org, BIBFRAME, or domain-specific equivalents).

* Strong background in data modeling methodologies (conceptual, logical, physical; 3NF, Data Vault, XML Schema).

* Experience with industry ontology frameworks relevant to financial services.

* Bachelor's or Master's degree in Library & Information Science, Computer Science, Linguistics, Information Systems, or a closely related field, or equivalent professional experience in knowledge engineering or taxonomy management.

**Nice-to-Have Qualifications:**

* Familiarity with AI-adjacent knowledge representation, including knowledge graph integration with large language models (LLMs), Retrieval Augmented Generation (RAG) pipelines, or semantic search architectures.

* Experience with localization or multilingual taxonomy design across multiple locales.

* Exposure to Agile or DevSecOps practices within a data engineering or platform context.

* Practical experience with ontology and taxonomy management tools such as PoolParty Semantic Suite, Protege, TopBraid Composer / TopQuadrant products, or similar platforms.

* Familiarity with graph databases (e.g., GraphDB) or equivalent triplestores.

* Scripting proficiency in languages like Python or R.

* Experience with SQL or GraphQL.

* Knowledge of Git / CI-CD pipelines and JSON / structured data formats.* Exposure to Content Management Systems (CMS), Digital Asset Management (DAM) platforms, and enterprise knowledge management systems.

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**About Aquent Talent**

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match.

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.