Information Architect

About the role

Join a leading organization in the financial services industry, where innovation meets impact. This company is dedicated to empowering its customers through robust information architecture and cutting-edge data solutions, driving clarity and efficiency in a complex financial landscape. Aquent Talent is seeking a highly skilled individual to join this forward-thinking team.

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 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.
• Design and implement ontologies using Semantic Web standards (RDF/RDFS, OWL, SKOS) to model domain knowledge and entity relationships.
• 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 subject matter expert, 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 of experience 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 (e.g., 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 financial services domain (e.g., FIBO, ISO 20022).
• Bachelor's or Master's degree in Library & Information Science, Computer Science, Linguistics, Information Systems, or a related field, or equivalent professional experience in knowledge engineering or taxonomy management.

Nice-to-Have 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.
• Experience with ontology and taxonomy management tools.
• Proficiency in scripting languages such as Python or R.
• Experience with SQL or GraphQL.
• Exposure to graph databases or equivalent triplestores.
• Experience with Git or CI-CD pipelines.
• Experience with JSON or other structured data formats.
• Familiarity with Content Management Systems (CMS), Digital Asset Management (DAM) platforms, and enterprise knowledge management systems.

Pay

Minimum Pay (per hour): 51.60
Maximum Pay (per hour): 57.33
Firm, non-negotiable: Yes

Schedule

Full-time

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. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!

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.