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.
Content & Data Governance
Establish governance models for metadata quality, controlled vocabulary updates, and cross system content lifecycle management.
Define documentation and standards enabling consistent adoption across global teams.
Collaborate with Data Governance, Legal, and Security to ensure compliance with policies, privacy regulations, and data stewardship practices.
Stakeholder Interactions & Collaboration
Product Management: Align information architecture with product strategies, roadmaps, and feature requirements; advise on data and content dependencies.
Engineering & Platform Teams: Collaborate to design scalable technical implementations, APIs, and data structures that support IA frameworks.
UX/CX Teams: Co-develop navigation patterns, search behaviors, labeling systems, and page structures that deliver intuitive user experiences.
Content Operations & Marketing: Provide structured content models, tagging frameworks, and governance workflows to improve content quality and findability.
Business Stakeholders: Facilitate workshops to gather requirements, translate business needs into IA specifications, and drive consensus across functional groups.
Executive and Steering Groups: Present IA strategies, roadmap recommendations, and key metrics demonstrating value to enterprise digital initiatives.
Search & Findability Optimization
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.
Tools & Systems
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
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
Additional Details
This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least May 14, 2026 or until the job is no longer posted.
Benefits
Remote work optionsEquity / stock optionsPerformance bonus
Agilent · DE Wilmington