Echo Services Inc.

Architect

• 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
• 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
• 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

Senior Taxonomy, Knowledge Architecture Lead

Data Engineer

• Help define and implement enterprise taxonomy and metadata strategies aligned with business and knowledge management objectives.
• Lead impact analyses, audits, and continuous improvement of existing taxonomies, metadata schemas, and tagging frameworks.
• Establish governance models for managed metadata, content types, and metadata-driven workflows.
• Partner with data owners, information architects, and content managers to ensure consistent use of metadata and controlled vocabularies.
• Architect, configure, and maintain Taxonomy API/SharePoint Term Store global term groups and term sets, content types, managed metadata.
• 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.
• Develop and maintain semantic models and ontologies using PoolParty or similar tools.
• Support connection of business glossaries and controlled vocabularies to enterprise applications, AI, CRM systems, and project management tools for improved knowledge consistency and retrieval.
• Enable Copilot and AI-powered tools to leverage taxonomy-driven knowledge graphs for contextual recommendations and summarization.
• Serve as taxonomy subject matter expert lead across multiple concurrent projects, balancing strategic oversight with hands-on delivery.
• Communicate complex taxonomy, ontology, and metadata concepts clearly and effectively to engineers, program managers, and executives across a matrixed organization.
• Deliver content tailored for both persuasive and informative knowledge-sharing presentations, supporting new implementations and strategic initiatives.
• Mentor and upskill taxonomy specialists and analysts, fostering a culture of knowledge-sharing and technical excellence.
• Partner with new clients or internal business units to translate information organization challenges into practical, scalable solutions.

Senior Taxonomy, Knowledge Architecture Lead

Senior Taxonomy & Metadata Architect