Digital Information Architect

Agilent Technologies

. Develop and maintain enterprise level taxonomies, ontologies, metadata schemas, and content models for digital platforms and knowledge ecosystems.

Posted 5/5/2026full-timeWilmington • 🇺🇸 United StatesMid-LevelSenior💰 $119,200 - $223,500 per yearWebsite

About the role

Key responsibilities & impact

Develop and maintain enterprise level taxonomies, ontologies, metadata schemas, and content models for digital platforms and knowledge ecosystems.
Architect scalable information frameworks supporting content reusability, cross-product discoverability, personalization, and structured content publishing.
Conduct information mapping, process modeling, and content audits to identify structural improvements and gaps.
Partner with UX teams to ensure information architecture aligns with user journeys, usability requirements, and accessibility standards.
Establish governance models for metadata quality, controlled vocabulary updates, and cross system content lifecycle management.
Collaborate with Data Governance, Legal, and Security to ensure compliance with policies, privacy regulations, and data stewardship practices.
Align information architecture with product strategies, roadmaps, and feature requirements; advise on data and content dependencies.
Collaborate to design scalable technical implementations, APIs, and data structures that support IA frameworks.
Co-develop navigation patterns, search behaviors, labeling systems, and page structures that deliver intuitive user experiences.
Provide structured content models, tagging frameworks, and governance workflows to improve content quality and findability.
Facilitate workshops to gather requirements, translate business needs into IA specifications, and drive consensus across functional groups.
Present IA strategies, roadmap recommendations, and key metrics demonstrating value to enterprise digital initiatives.
Partner with search engineering teams to optimize metadata strategies, indexing rules, faceting, synonyms, and ranking logic.
Conduct user research and analytics reviews to continuously improve search performance and content discoverability.
Work with enterprise CMS, PIM, DAM, CRM, and knowledge management systems to ensure consistent and scalable information frameworks.
Evaluate new technologies and platforms that support structured content, headless architectures, and intelligent information delivery.

Requirements

What you’ll need

Bachelor’s degree in Information Science, Computer Science, Knowledge Management, UX Design, or equivalent experience.
4+ years of experience in information architecture, structured content strategy, knowledge engineering, taxonomy design or equivalent.
Strong understanding of metadata modeling, ontology design, and content management systems.
Demonstrated experience leading cross functional workshops and influencing stakeholders at multiple levels.
Excellent communication, documentation, and visual modeling skills (e.g., diagrams, IA maps, schema representations).
Preferred: Experience in life sciences, instrumentation, or complex technical product environments.
Familiarity with CMS, enterprise search technologies, and API driven content delivery.
Experience working in agile product development environments.
Familiarity with EXCEL or other data analysis tools

Benefits

Comp & perks

Bonus
Stock
Benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

information architecturemetadata modelingontology designcontent management systemsstructured content strategytaxonomy designdata structuresAPIscontent modelscontent audits

Soft Skills

communicationdocumentationvisual modelingstakeholder influenceworkshop facilitationcollaborationuser researchanalytics reviewconsensus buildingproblem solving

Certifications

Bachelor’s degree in Information ScienceBachelor’s degree in Computer ScienceBachelor’s degree in Knowledge ManagementBachelor’s degree in UX Design