Key Responsibilities:
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.
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.
The full-time equivalent pay range for this position is $119,200.00 - $223,500.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations
Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.