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AI Knowledge Management Lead
Northleaf Capital Partners
Toronto, CAN
Full Time
Lead
Hybrid
Today
Knowledge ManagementInformation ArchitectureTaxonomy DesignMetadata ModelingSharePointMicrosoft 365
Free
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Knowledge ManagementInformation ArchitectureTaxonomy Design
About the Role
Northleaf Capital Partners seeks an AI Knowledge Management Lead to make trusted content and institutional knowledge usable for AI-enabled work. This senior business-technical role defines content standards, readiness criteria, and business validation of retrieval quality.
Key Skills for This Role
Knowledge ManagementInformation ArchitectureTaxonomy DesignMetadata ModelingSharePointMicrosoft 365
Responsibilities
- Establish Northleaf's AI ready knowledge and content architecture, including content domains, SharePoint site/library patterns, knowledge bases, taxonomy, metadata, document readiness standards, source of truth rules, content ownership and refresh cadence
- Partner with business teams to identify, prepare and onboard priority content into protected AI ready knowledge environments
- Coordinate content tagging, clean up, migration readiness and onboarding activities with business owners and platform teams
- Translate business workflows into AI ready content and retrieval requirements
- Partner with M365, SharePoint, Purview, AI/search, data and automation specialists on implementation patterns
- Define business test cases and acceptance criteria to evaluate retrieval quality, search relevance, answer grounding, citation usefulness, source traceability and permissions safety
- Create repeatable playbooks, onboarding materials, ownership practices and office hours support
Requirements
- 12+ years of experience across knowledge management, information architecture, enterprise content management, enterprise search, digital workplace, document governance or related transformation roles
- Demonstrated experience designing and implementing taxonomies, metadata models, document ownership structures, content lifecycle processes, access/permission models, content standards and business stewardship practices
- Strong working knowledge of SharePoint content architecture and governance
- Practical AI retrieval literacy, including how source quality, document structure, metadata, permissions, OCR/extraction, chunking, search relevance, grounding and citations affect AI generated outputs
- Ability to partner credibly with platform and engineering specialists on Azure/Microsoft capabilities
- Strong business facing stakeholder management skills
- Excellent written and verbal communication skills
Full Job Posting
Position Overview
- The AI Knowledge Management Lead will make Northleaf's trusted content and institutional knowledge usable for AI enabled work.
- As a member of Northleaf’s AI Platform team, you will own the business content architecture and AI readiness framework for Northleaf's governed knowledge estate.
- This is a senior business technical knowledge leadership role.
Key Responsibilities
- Establish Northleaf's AI ready knowledge and content architecture, including content domains, SharePoint site/library patterns, knowledge bases, taxonomy, metadata, document readiness standards, source of truth rules, content ownership and refresh cadence.
- Partner with business teams to identify, prepare and onboard priority content into protected AI ready knowledge environments for search, agents and repeatable knowledge use.
- Coordinate content tagging, clean up, migration readiness and onboarding activities with business owners and platform teams.
- Translate business workflows into AI ready content and retrieval requirements, including source authority, source of truth and derivative content rules, access expectations, sensitivity considerations, metadata requirements, citations, human review points and exception handling.
- Partner with M365, SharePoint, Purview, AI/search, data and automation specialists on implementation patterns involving SharePoint Premium/Syntex, Microsoft 365 Copilot, Microsoft Foundry, Azure AI Document Intelligence, Azure AI Search, Blob Storage and related components.
- Define business test cases and acceptance criteria to evaluate retrieval quality, search relevance, answer grounding, citation usefulness, source traceability and permissions safety.
- Partner with AI data product, agent and automation leads to ensure document based workflows are grounded in approved, well structured content.
- Support agents, document processing flows and scheduled synthesis/reporting by defining content requirements, source rules and quality checks.
- Create repeatable playbooks, onboarding materials, ownership practices and office hours support.
- Track content readiness progress, business team onboarding, quality issues, backlog priorities, ownership gaps and foundation delivery milestones.
Qualifications
- 12+ years of experience across knowledge management, information architecture, enterprise content management, enterprise search, digital workplace, document governance or related transformation roles.
- Demonstrated experience designing and implementing taxonomies, metadata models, document ownership structures, content lifecycle processes, access/permission models, content standards and business stewardship practices.
- Strong working knowledge of SharePoint content architecture and governance, including sites, libraries, permissions, metadata and content lifecycle.
- Practical AI retrieval literacy, including how source quality, document structure, metadata, permissions, OCR/extraction, chunking, search relevance, grounding and citations affect AI generated outputs.
- Ability to partner credibly with platform and engineering specialists on Azure/Microsoft capabilities.
- Experience working in a regulated, confidential and document intensive environment; private markets, asset management, banking, pension, insurance, legal, professional services or consulting experience is strongly preferred.
- Strong business facing stakeholder management skills.
- Excellent written and verbal communication skills, strong judgment, attention to detail and the ability to influence without direct authority.
- University degree or equivalent experience in information management, library and information science, business, technology, data, knowledge management or a related field.
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