northleafcapitalpartners

northleafcapitalpartners

AI Knowledge Management Lead

Toronto, Ontario

Sponsorship not specifiedDetected 5 days ago
AzureStakeholder ManagementRecruitingLeadershipCommunicationSharePoint

About the role

  • With US$31 billion in capital commitments raised to date, Northleaf has an established, long-term track record as an investor in private equity, private credit and infrastructure globally.
  • Northleaf's 300+ person team, located in Toronto, Chicago, London, Los Angeles, Melbourne, Menlo Park, Montreal, New York, Seoul and Tokyo, is focused exclusively on sourcing, evaluating and managing private markets investments.
  • You will define content standards, readiness criteria and business validation of retrieval quality while partnering with M365, SharePoint, AI/search, data, privacy, security and records specialists on technical implementation and controls.

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 front- and back-office 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 so trusted document sets can support repeatable briefs, searches, reports and knowledge workflows across approved content.
  • Partner with AI data product, agent and automation leads to ensure document-based workflows, extracted-data outputs and reusable AI patterns are grounded in approved, well-structured content.
  • Support agents, document-processing flows and scheduled synthesis/reporting by defining the content requirements, source rules and quality checks needed for reusable workflow patterns.
  • Create repeatable playbooks, onboarding materials, ownership practices and office-hours support so business teams can progressively adopt content and knowledge standards without relying on one-off central support.
  • communicate practical risks, dependencies and recommendations to leadership and partner teams.
  • Track content-readiness progress, business-team onboarding, quality issues, backlog priorities, ownership gaps and foundation delivery milestones; communicate practical risks, dependencies and recommendations to leadership and partner teams.
  • AI Knowledge Management Lead
  • The AI Knowledge Management Lead will make Northleaf's trusted content and institutional knowledge usable for AI-enabled work.

Requirements

  • 12+ years of experience across knowledge management, information architecture, enterprise content management, enterprise search, digital workplace, document governance or related transformation roles.
  • Strong working knowledge of SharePoint content architecture and governance, including sites, libraries, permissions, metadata and content lifecycle
  • familiarity with Teams, Microsoft Search, Copilot, Purview, Power Platform, SharePoint Premium/Syntex or comparable knowledge and content-management capabilities is an asset.
  • Hands-on AI or cloud engineering is not required, but the ability to define requirements and evaluate output quality is essential.
  • Strong business-facing stakeholder management skills, with the ability to translate technical and information-management concepts into practical workflows for investment and corporate teams.
  • Excellent written and verbal communication skills, strong judgment, attention to detail and the ability to influence without direct authority in a collaborative, high-integrity environment.
  • University degree or equivalent experience in information management, library and information science, business, technology, data, knowledge management or a related field.
  • Demonstrated experience designing and implementing taxonomies, metadata models, document ownership structures, content lifecycle processes, access/permission models, content standards and business stewardship practices.
  • 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 such as Microsoft Foundry, Azure AI Document Intelligence, Azure AI Search, Blob Storage, data connectors, document-processing pipelines and agent workflows. Hands-on AI or cloud engineering is not required, but the ability to define requirements and evaluate output quality is essential.
  • 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.
  • Location
  • Toronto, Canada
  • What Sets Us Apart

Compensation

  • We also support flexible working arrangements, with up to two remote days per week and the option for fully remote for up to two weeks per year.
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