Agilent Technologies Logo

Agilent Technologies

Digital Information Architect

Reposted 9 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Wilmington, DE
119K-224K Annually
Mid level
In-Office or Remote
Hiring Remotely in Wilmington, DE
119K-224K Annually
Mid level
The Digital Information Architect will develop enterprise-level taxonomies and content models, manage information governance, and collaborate with cross-functional teams to enhance digital content discoverability and user experience.
The summary above was generated by AI
Job Description

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.

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).

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 [email protected] or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: OccasionalShift: DayDuration: No End DateJob Function: Marketing

Similar Jobs

6 Hours Ago
Easy Apply
Remote
United States
Easy Apply
150K-175K Annually
Senior level
150K-175K Annually
Senior level
Artificial Intelligence • Enterprise Web • Information Technology • Productivity • Sales • Software • Database
The GTM Engineer II will manage strategic customer relationships, drive adoption and revenue growth, and advise executives on GTM strategy while navigating complex organizations.
Top Skills: AICrm SystemsData Analytics
6 Hours Ago
Easy Apply
Remote
United States
Easy Apply
160K-200K Annually
Senior level
160K-200K Annually
Senior level
Artificial Intelligence • Enterprise Web • Information Technology • Productivity • Sales • Software • Database
The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.
Top Skills: A/B TestingAmplitudeHeapLookerMachine LearningMixpanelPythonRSASSQL
6 Hours Ago
Easy Apply
Remote
USA
Easy Apply
70K-85K Annually
Mid level
70K-85K Annually
Mid level
Enterprise Web • HR Tech • Information Technology • Software
The Business Systems Administrator manages Salesforce and ERP systems, ensuring data integrity, process optimization, and inter-departmental collaboration for operational efficiency.
Top Skills: CeligoEtl/Integration ToolsHubspotNetSuiteSalesforce

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account