[Hiring] Digital Information Architect @Agilent Technologies

Role Description

• Information Architecture & Design
  • 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.

Qualifications

• 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).

Requirements

• 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

• This job has a full time weekly schedule.
• It includes the option to work remotely.
• The full-time equivalent pay range for this position is $119,200.00 - $223,500.00/yr plus eligibility for bonus, stock and benefits.
• Pay ranges are determined by role, level, and location.
• During the hiring process, a recruiter can share more about the specific pay range for a preferred location.