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About the role
- Information Scientist designing taxonomies, metadata models, and content structures for Miratech's Genesys Cloud AI solutions. Improving enterprise knowledge retrieval and search relevance for customer service and self-service users.
Responsibilities
- Analyze the existing knowledge base to identify gaps in content structure, consistency, duplication, metadata, and searchability
- Conduct a baseline assessment of 100–200 pilot articles for content quality, accuracy, currency, readability, and tagging practices
- Analyze search logs and user behavior to identify search relevance issues, zero-result queries, and terminology gaps
- Design taxonomy and metadata models, including hierarchies, controlled vocabularies, synonyms, tagging rules, and audience-specific content classification
- Define content structuring guidelines and search optimization requirements for keyword, semantic, and AI-powered knowledge retrieval
- Establish content quality standards, lifecycle rules, review processes, and ownership guidelines with the Senior PS Consultant
- Support proofs of concept by evaluating taxonomy and search capabilities, assessing AI retrieval quality, and documenting recommendations for the client's content team
Requirements
- 5+ years of experience in information science, taxonomy design, metadata modelling, information architecture, or enterprise search
- Demonstrated experience designing taxonomies and metadata models for enterprise or digital content environments
- Practical experience analyzing search behavior, improving content findability, and defining search optimization requirements
- Experience structuring or preparing content for AI-powered search, knowledge retrieval, or virtual agents
- Understanding of how content structure, metadata, and information architecture affect AI-powered search and knowledge retrieval
- Strong analytical and communication skills, with the ability to translate findings into practical recommendations
- Eligibility to obtain and maintain a Government of Canada security clearance
- Master's degree in Library and Information Science (MLIS/MISt) or an equivalent qualification in Information Science (nice to have)
- Experience with Genesys Cloud solutions or other contact centre knowledge platforms (nice to have)
- Knowledge of taxonomy and metadata standards, such as SKOS, Dublin Core, or ISO 25964 (nice to have)
- Government or public sector experience (nice to have)
- Bilingual English/French proficiency (nice to have)
Benefits
- Comprehensive compensation and benefits package
- Health insurance
- Language courses
- Relocation program
- Professional development opportunities
- Certification programs
- Mentorship and talent investment programs
- Internal mobility opportunities
- Internship opportunities
- Collaboration on impactful projects for top global clients
- Inclusive and supportive work environment
- Regular team-building company social events
- Sustainable business practices focused on IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality
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Degree requirement
No Education Requirement
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Information Scientist designing taxonomies, metadata models, and search optimization for Genesys Cloud AI. Supporting knowledge retrieval and content architecture for Miratech’s enterprise clients.
Information Scientist designing taxonomies, metadata, and search optimization for Genesys Cloud AI. Improving knowledge retrieval for enterprise clients at global IT services company Miratech.
Information Scientist designing taxonomies, metadata models, and search optimization for Genesys Cloud AI. Improving knowledge retrieval for enterprise customer service and self - service solutions at Miratech.
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