Sr. Staff Information Architect, Ia & Taxonomy Solutions

ServiceNow ServiceNow · Enterprise · Kirkland, WA +2 · User Experience Design

This role focuses on defining and leading Information Architecture (IA) and taxonomy strategy for digital experiences, including site architecture, navigation, and content findability. It involves developing taxonomies, ontologies, and data models, leading automated content tagging initiatives, and establishing a central taxonomy repository. A key aspect is applying AI and emerging technologies to IA and taxonomy work, such as leveraging AI for content classification and metadata enrichment, and designing taxonomies to support AI-driven experiences. The role also includes building AI prompt engineering capabilities in collaboration with engineering teams and operating as a strategic partner to leadership.

What you'd actually do

  1. Define and lead IA and taxonomy strategy for digital experiences – including site architecture, navigation, content structure, and findability improvements – in close collaboration with Content Strategy, Design, UX Research, and Content Governance functions.
  2. Develop and evolve taxonomies, ontologies, and data models that support content classification, knowledge management, and cross-platform consistency.
  3. Lead automated content tagging initiatives, defining the requirements, considerations, and quality standards in partnership with Digital Technology teams.
  4. Establish and steward a central taxonomy repository that serves as a shared source of truth for digital site teams — reducing redundancy and driving consistency while supporting contributions from across the organization.
  5. Apply AI and emerging technologies to IA and taxonomy work — from leveraging AI for content classification and metadata enrichment to designing taxonomies and information structures that support AI-driven experiences on digital platforms.

Skills

Required

  • 7+ years of experience in information architecture, taxonomy design, ontology development, knowledge management, semantic modeling, metadata management, or content strategy
  • Demonstrated experience leading IA or taxonomy initiatives end-to-end
  • Deep expertise in taxonomy and ontology design, metadata strategy and modeling, and content classification
  • Experience designing IA for digital user experiences
  • Strong systems thinking
  • A product-oriented mindset and consultative working style
  • Track record of building consensus and influencing decisions across organizational boundaries
  • Excellent written and verbal communication skills
  • Proven ability to operate independently and define your own path forward in ambiguous or evolving environments

Nice to have

  • Experience with AI applications in content or taxonomy work, such as AI-assisted content tagging, metadata enrichment, or taxonomy generation.

What the JD emphasized

  • AI prompt engineering capabilities

Other signals

  • applying AI to scale and enhance IA and taxonomy work
  • AI prompt engineering capabilities
  • AI-driven experiences