Digital Information Architect

Agilent Technologies•Wilmington, DE

1d•Remote

About The Position

This role focuses on developing and maintaining enterprise-level information architecture for digital platforms and knowledge ecosystems. The Digital Information Architect will be responsible for creating scalable information frameworks that support content reusability, discoverability, personalization, and structured publishing. Key activities include information mapping, process modeling, content audits, and collaborating with UX teams to ensure IA aligns with user needs and accessibility standards. The role also involves establishing governance models for metadata quality and content lifecycle management, ensuring compliance with policies and regulations. Collaboration with various teams including Product Management, Engineering, UX/CX, Content Operations, Marketing, and business stakeholders is crucial for aligning IA with product strategies and business needs. Optimization of search and findability through metadata strategies and user analytics is also a key responsibility. The role requires working with enterprise systems like CMS, PIM, DAM, CRM, and knowledge management systems, and evaluating new technologies for structured content 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).

Nice To Haves

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

Responsibilities

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.
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.
Align information architecture with product strategies, roadmaps, and feature requirements; advise on data and content dependencies.
Collaborate with Engineering & Platform Teams 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 with UX/CX Teams.
Provide structured content models, tagging frameworks, and governance workflows to improve content quality and findability with Content Operations & Marketing.
Facilitate workshops to gather requirements, translate business needs into IA specifications, and drive consensus across functional groups with Business Stakeholders.
Present IA strategies, roadmap recommendations, and key metrics demonstrating value to enterprise digital initiatives to Executive and Steering Groups.
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.