Information Scientist Taxonomy Design

Shape Genesys Cloud AI knowledge retrieval through taxonomy design and metadata modelling at Miratech, supporting enterprise content findability.As an Information Scientist, you will improve information architecture for customer service agents, self-service users, and AI-powered solutions. The work covers knowledge-base analysis, content structure, search optimization, and retrieval quality. You will collaborate with the Senior PS Consultant and client content team to establish practical recommendations.Key Responsibilities:
Analyze knowledge-base structure, consistency, duplication, metadata, and searchabilityAssess 100–200 pilot articles for quality, accuracy, currency, and taggingDesign taxonomies, controlled vocabularies, synonyms, and metadata modelsDefine content-structuring guidelines and search optimization requirementsEstablish quality standards, lifecycle rules, reviews, and ownership guidelinesRequirements:
Five-plus years in information science, taxonomy, metadata, architecture, or enterprise searchExperience designing taxonomies and metadata models for enterprise contentExperience analyzing search behavior and improving content findabilityExperience preparing content for AI search, retrieval, or virtual agentsEligibility to obtain and maintain Government of Canada security clearanceApply information architecture, taxonomy design, and metadata modelling to improve accurate knowledge retrieval through Genesys Cloud AI.
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