Senior Information Architect

S Piper Staffing LLC • Greater Seattle Area
Remote
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AI Summary

Lead the strategy and implementation of navigation, metadata, taxonomy, and ontology frameworks across digital properties. Improve findability, support personalization and AI/ML initiatives, and ensure product and content data is structured, governed, and optimized for large-scale digital and e-commerce experiences. Partner with Product, Content, UX, Engineering, Analytics, and senior stakeholders to translate complex business and data requirements into actionable IA solutions.

Key Highlights
Lead strategy and design for global and sub-site navigation
Develop and govern taxonomies, ontologies, metadata schemas, and data models
Support AI/ML initiatives such as semantic search, recommendations, and conversational systems
Key Responsibilities
Lead strategy and design for global and sub-site navigation
Develop and govern taxonomies, ontologies, metadata schemas, and data models
Support systems of record, lineage mapping, and product data normalization
Oversee tagging approaches, including auto-tagging and ML-assisted classification
Collaborate across teams to align IA with digital, e-commerce, and personalization goals
Conduct user research and usability testing focused on navigation and findability
Review analytics to identify and resolve content and data discoverability issues
Provide IA and data architecture expertise across cross-functional teams
Support AI/ML initiatives such as semantic search, recommendations, and conversational systems
Technical Skills Required
SQL SPARQL Visual Basic SmartLogic Semaphore NavCat TaxCat Specs Configuration Squirrel Drools ContentStack
Benefits & Perks
Fully Remote (U.S. Only)
Contract employment

Job Description


Title: Senior Information Architect

Department: Digital Retail

Reports to: Manager, Information Architecture

Type: Contract

Location: Fully Remote (U.S. Only)

Sponsorship: Not available


Overview

The Senior Information Architect will lead the strategy and implementation of navigation, metadata, taxonomy, and ontology frameworks across digital properties. This role improves findability, supports personalization and AI/ML initiatives, and ensures product and content data is structured, governed, and optimized for large‑scale digital and e‑commerce experiences. The position partners closely with Product, Content, UX, Engineering, Analytics, and senior stakeholders to translate complex business and data requirements into actionable IA solutions.


Responsibilities

  • Lead strategy and design for global and sub‑site navigation
  • Develop and govern taxonomies, ontologies, metadata schemas, and data models
  • Establish and maintain data and metadata governance programs
  • Support systems of record, lineage mapping, and product data normalization
  • Oversee tagging approaches, including auto‑tagging and ML‑assisted classification
  • Collaborate across teams to align IA with digital, e‑commerce, and personalization goals
  • Conduct user research and usability testing focused on navigation and findability
  • Review analytics to identify and resolve content and data discoverability issues
  • Provide IA and data architecture expertise across cross‑functional teams
  • Support AI/ML initiatives such as semantic search, recommendations, and conversational systems


Tools & Experience:

  • Must have 'some' experience as an Information Architect in the retail apparel, outdoor apparel, or sporting goods industries.
  • 4+ years of experience shaping product or content data ecosystems for digital or e‑commerce platforms.
  • Strong communication skills with ability to influence technical and non‑technical partners.
  • Experience aligning IA and metadata strategies with AI/ML and emerging technologies..
  • Comfortable working in Agile, user‑centric environments.
  • MUST HAVE Semaphore Smartlogic experience.
  • Must be proficient in the following technologies:

SQL | SPARQL | Visual Basic | SmartLogic Semaphore | NavCat | TaxCat | Specs Configuration | Squirrel | Drools | ContentStack


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