Digital Information Architect

Compunnel

• $110K — $130K *
Santa Clara, CA 95051In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 4+ years of experience in information architecture or related fields
  • Strong understanding of metadata modeling and content management systems
  • Proven ability to lead workshops and influence stakeholders
  • Excellent communication and visual modeling skills
  • Preferred experience in life sciences or complex technical product environments

Responsibilities

  • Establish governance models for metadata quality and content lifecycle management
  • Define documentation and standards for global teams
  • Collaborate to ensure compliance with privacy regulations
  • Align information architecture with product strategies
  • Co-develop navigation patterns with UX teams
  • Optimize metadata strategies with search engineering
  • Conduct user research for improved search performance

Benefits

  • Opportunity to work on enterprise-level digital platforms
  • Collaborative environment with UX and governance teams
  • Involvement in innovative technology evaluation
  • Contribution to scalable information frameworks
  • Potential for professional growth in a dynamic field
Full Job Description
Job Summary

The Digital Information Architect develops and maintains enterprise-level taxonomies, ontologies, metadata schemas, and content models for digital platforms and knowledge ecosystems. This role architects scalable information frameworks that support content reusability, cross-product discoverability, personalization, and structured content publishing, while partnering with UX teams to ensure alignment with user journeys, usability requirements, and accessibility standards.

Key Responsibilities

Content & Data Governance

  1. Establish governance models for metadata quality, controlled vocabulary updates, and content lifecycle management
  2. Define documentation and standards for consistent adoption across global teams
  3. Collaborate with governance teams to ensure compliance with privacy regulations and data stewardship
  4. Stakeholder Interactions & Collaboration
  5. Align IA with product strategies and feature requirements
  6. Co-develop navigation patterns with UX/CX teams
  7. Provide structured content models to improve content quality and findability
  8. Gather requirements and drive consensus across functional groups


Search & Findability Optimization

  1. Partner with search engineering to optimize metadata strategies, indexing rules, and ranking logic
  2. Conduct user research to improve search performance and discoverability

Tools & Systems

  1. Work with enterprise systems including CMS, PIM, DAM, CRM, and knowledge management platforms
  2. Evaluate new technologies supporting structured content and intelligent delivery


Required Qualifications

  1. 4+ years of experience in information architecture, structured content strategy, knowledge engineering, or taxonomy design
  2. Strong understanding of metadata modeling, ontology design, and content management systems
  3. Demonstrated experience leading cross-functional workshops and influencing stakeholders
  4. Excellent communication, documentation, and visual modeling skills (e.g., diagrams, IA maps, schema representations)

Preferred Qualifications

  1. Experience in life sciences, instrumentation, or complex technical product environments
  2. Familiarity with CMS, enterprise search technologies, and API-driven content delivery
  3. Experience working in agile product development environments
  4. Familiarity with Excel or other data analysis tools
* Ladders Estimates

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