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Senior Taxonomy & Architecture Lead

Job in Issaquah, King County, Washington, 98027, USA
Listing for: ICES: Data, Discovery, Better Health
Full Time position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior Taxonomy & Knowledge Architecture Lead

Echo Services is seeking a senior-level taxonomy and knowledge architecture leader to design and steward the semantic foundations of enterprise information, search, and AI powered experiences. In this role, you will transform content and data into a strategic knowledge asset that powers intelligent search, Copilot experiences, and AI driven discovery.

This is a hands‑on role that blends strategy and delivery. You will lead taxonomy and metadata design while partnering closely with business and engineering teams. Together, you will ensure knowledge structures are implemented, governed, and operationalized at scale across Microsoft 365, SharePoint, Copilot, and connected enterprise systems.

You will play a pivotal role in elevating enterprise content into a trusted, high‑value knowledge asset. Your work will enable Copilot, AI search, and information management systems to deliver smarter insights and faster, more accurate answers. By shaping the organization’s semantic foundation, you will directly influence how people find, understand, share, and use information across the enterprise.

Key Responsibilities Enterprise Taxonomy Strategy & Governance
  • Define and evolve enterprise taxonomy, metadata, and semantic modeling strategies aligned to business and knowledge management objectives
  • Lead impact analyses, audits, and continuous improvement of taxonomies, metadata schemas, tagging frameworks, and controlled vocabularies
  • Position taxonomy and knowledge architecture as the semantic backbone for Copilot, Fabric, semantic search, and AI driven experiences
  • Follow governance models for managed metadata, content types, and metadata workflows across distributed teams
  • Partner with business stakeholders, data owners, and content leaders to ensure shared language, conceptual clarity, and consistent knowledge representation
  • Serve as the subject matter authority on taxonomy, metadata, and ontology best practices across the organization
  • Define success measures and validate that implementations improve findability, coherence, and AI response quality
Technical Implementation
  • Architect, configure, and maintain Taxonomy API/SharePoint Term Store global term groups and term sets, content types and managed metadata implementations
  • Design and manage API integrations connecting taxonomy and term store data with Copilot agents, search, and knowledge management systems
  • Implement taxonomy endpoints, metadata tagging automation, and ontology synchronization between systems (e.g., Taxonomy Service → Power Platform)
  • Collaborate with engineering teams to ensure scalable, high‑performance taxonomy API and metadata services
  • Identify and implement success measures to validate projected outcomes
Leadership, Communication, and Mentorship
  • Translate complex taxonomy, ontology, and metadata concepts for engineers, program managers, and executives
  • Lead knowledge sharing sessions, design reviews, and strategic presentations
  • Mentor taxonomy specialists, analysts, and content professionals, fostering technical excellence and shared practices
  • Partner with clients to understand enterprise information challenges and design sustainable knowledge architecture solutions
Qualifications
  • 8+ years of experience in taxonomy design, metadata management, knowledge architecture, or related enterprise information roles, with demonstrated impact at scale
  • Deep expertise in taxonomy practice, including controlled vocabularies, semantic modeling, and enterprise metadata governance
  • Hands‑on experience with Microsoft 365, including SharePoint Online, Syntex/document processing, and managed metadata frameworks
  • Experience with semantic platforms such as Pool Party or equivalent ontology and vocabulary management tools
  • Strong technical domain knowledge, including:
    • Metadata strategy, ontology management, information retrieval, and semantic search
    • API‑based integration of taxonomy and metadata services
    • AI‑driven content enrichment, semantic search, and retrieval‑augmented generation (RAG) concepts
    • Digital workplace platforms, CRM systems, and enterprise knowledge tools
  • Proven ability to collaborate closely with engineering teams while retaining ownership of conceptual, semantic, and…
Position Requirements
10+ Years work experience
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