Sr. Staff Information Architect, IA & Taxonomy Solutions

About the role

Team The Information Architecture (IA) team focuses on the planning, design, and implementation of information architecture and metadata management to achieve strategic business goals at ServiceNow. Our work spans taxonomy design and governance, data modeling, IA for digital user experiences, and vocabulary standards. We collaborate closely with teams across the company - including Digital Technology, the organizations that own ServiceNow's digital sites, Customer Support, and Marketing - to deliver taxonomy and IA solutions that help users find the right information through the right channels. Role We're looking for a Senior Staff Information Architect who brings deep expertise in information architecture, taxonomy, and ontology design together with strategic thinking, a product mindset, and a consultative approach. This person will help define where and how IA and taxonomy solutions create value, then drive those solutions from concept through delivery. The role spans IA for digital user experiences, establishing a central taxonomy repository to unify standards across digital sites, automated content tagging, and applying AI to scale and enhance IA and taxonomy work. This is an individual contributor role. It's a high-autonomy position for someone who thrives in ambiguity - someone who proactively shapes direction, treats IA and taxonomy as products with real users and adoption strategies, and builds cross-functional alignment naturally. If you naturally gravitate toward defining the framing and charting a path forward, this role was designed for you. What you get to do in this role: 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. Develop and evolve taxonomies, ontologies, and data models that support content classification, knowledge management, and cross-platform consistency. Lead automated content tagging initiatives, defining the requirements, considerations, and quality standards in partnership with Digital Technology teams. 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. Identify integration opportunities for taxonomy and IA across the business, build stakeholder alignment around their value, and turn opportunities into scoped projects. 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. Help build the team's AI prompt engineering capabilities in collaboration with engineering teams, identifying where AI can accelerate taxonomy development, content tagging, and IA analysis. Operate as a strategic partner to leadership, proactively identifying where IA and taxonomy can deliver business value and defining the path to get there - including framing proposals, articulating value, and gaining consensus before moving to execution. Build relationships across Digital Technology, Design, organizations that own digital sites, Support, and Marketing to understand needs, position IA as a strategic enabler, and drive adoption of IA standards and services. Contribute to team growth by sharing expertise and bringing new perspectives to how the team approaches strategy, systems, and cross-functional engagement. What you'll need to be successful in this role: 7+ years of experience in information architecture, taxonomy design, ontology development, knowledge management, semantic modeling, metadata management, or content strategy (with emphasis on structured content or content modeling), with progressive responsibility for strategic and cross-functional work. Demonstrated experience leading IA or taxonomy initiatives end-to-end - from identifying the opportunity and defining requirements through stakeholder alignment and delivery. Deep expertise in taxonomy and ontology design, metadata strategy and modeling, and content classification. Experience designing IA for digital user experiences, including site architecture, navigation, and content findability. Strong systems thinking - the ability to understand how content, data, platforms, and business processes interconnect and to design solutions that account for those dependencies. A product-oriented mindset and consultative working style - you think about IA and taxonomy as products with users and adoption strategies, and you drive outcomes through influence rather than authority. Track record of building consensus and influencing decisions across organizational boundaries. Excellent written and verbal communication skills, with the ability to translate technical concepts for diverse audienc

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