AI Knowledge Management Lead

Job description

About Northleaf Capital Partners Northleaf is a global private markets investment firm focused on mid-market companies and assets. With US$32 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. Northleaf manages closed and open-end funds across a range of global private markets strategies and a series of separately managed accounts with customized investment strategies tailored to meet the specific needs of leading institutional investors and family offices. As part of its ambitious growth strategy, Northleaf is also developing specific private markets products and investment solutions for insurance and wealth management clients. Position: AI Knowledge Management Lead 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, including priority content domains, taxonomy, metadata, source-of-truth rules, content ownership, access expectations, refresh standards and business-area onboarding. Northleaf is pursuing a business-led, platform-enabled AI model. This is a senior business-technical knowledge leadership role, where 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. 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 so trusted document sets can support repeatable briefs, searches, reports and knowledge workflows across approved content. 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 as required. Define business test cases and acceptance criteria to evaluate retrieval quality, search relevance, answer grounding, citation usefulness, source traceability and permissions safety; use feedback and quality measures to refine taxonomy and metadata. 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. 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. 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; familiarity with Teams, Microsoft Search, Copilot, Purview, Power Platform, SharePoint Premium/Syntex or comparable knowledge and content-management capabilities is an asset. 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. 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. Location Toronto, Canada What Sets Us Apart At Northleaf Capital Partners, you’ll be joining a leading global private markets investment firm with a differentiated platform across mid-market private equity, private credit, and infrastructure. Our integrated approach and long-term perspective have made us a partner of choice to a global base of institutional investors – and that begins with our exceptional team of professionals. At our core, our culture is built on the foundation of trust, openness, respect, integrity, and professionalism. These values guide every interaction with our investors, our partners, and one another. We are focused on building long-term relationships and creating a collaborative, professional environment where everyone feels supported and valued. We foster a collegial and non-hierarchical workplace where ideas are valued, decision-making is grounded in data, and individuals are empowered to contribute meaningfully. Our success depends on an engaged and inclusive workforce, and we invest in fostering that culture. We celebrate the diverse backgrounds, perspectives, and experiences of our team members and are committed to ensuring a workplace built on inclusion and shared success. We celebrate achievements, encourage teamwork, and work hard to cultivate a sense of community to achieve strong results. Our competitive total rewards package features an employer-funded benefits plan, an attractive retirement offering, which includes a group retirement plan and the ability to invest in Northleaf funds on a no fee/no carry basis, and a range of valuable perks such as fitness and wellness reimbursement, charitable donation matching, and tuition assistance. 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. Contact Interested candidates are asked to apply on Northleaf Careers . Only those selected to be interviewed will be contacted. Applications will be reviewed using Northleaf’s recruitment standards to ensure a fair and consistent experience. Our recruitment team will personally review your resume and application. We may use artificial intelligence to help identify the skills and qualities that matter most to our business through candidate sourcing. We are committed to safeguarding your privacy and using AI responsibly throughout the process. Northleaf Capital Partners is committed to providing an inclusive and accessible candidate experience. Should you require accommodations during the selection process, please do not hesitate to let us know and suitable arrangements will be made.