We are seeking a Senior Knowledge Management Consultant, AI & Content Strategy to shape the next phase of HR Knowledge Management. HR knowledge increasingly powers AI-enabled employee experiences, including the AskHR Virtual Agent. This role will help ensure that knowledge is structured and governed to work across the different channels and AI tools employees rely on, rather than being designed for one channel at a time. Working across a decentralized HR organization, the successful candidate will understand the needs of different teams and bring them together around a more unified knowledge model that each team can sustain within its own area.This is a senior individual-contributor role for someone with strong knowledge-management, information-architecture or content-strategy foundations and practical experience applying generative AI or retrieval-augmented generation (RAG) to enterprise knowledge. This is not an AI engineering role. It requires a practitioner who can connect how knowledge is structured to how AI performs, and turn that into clear guidance for HR, Product and Technology partners.
Location: Montreal (day 1 onboarding onsite/in-office presence required 4x/week) What you'll do in the roleLead the evolution of HR’s knowledge architecture and content strategy, establishing common structures, standards and lifecycle principles that improve consistency across decentralized HR teams.Advise HR leaders, content owners and subject-matter experts on reducing fragmented or duplicative content and adopting a more unified, governed model across AskHR and other employee-facing channels.Evolve AI-ready content standards as employee consumption channels, product capabilities, retrieval performance and AI-enabled experiences develop, ensuring HR knowledge remains clear, governed and effective.Lead cross-functional reviews of how knowledge supports AI-enabled employee journeys, translating findings into executive-ready recommendations, priorities and roadmaps that align HR, Product and Technology.Work alongside KM team members, coaching them on knowledge architecture and AI-readiness practices and turning strategy into clear guidance they can apply in their day-to-day work.What you'll bring to the roleBachelor’s degree or equivalent practical experience.7–10 years of experience in knowledge management, information architecture, enterprise content, content strategy or a related discipline.Experience improving how enterprise knowledge is structured, classified and governed, using approaches such as content models, taxonomy or metadata.Practical experience applying generative AI or retrieval-augmented generation (RAG) to enterprise knowledge or content, with an understanding of the factors that influence retrieval quality.Demonstrated ability to influence without direct authority, build alignment with senior stakeholders, and move ambiguous, cross-functional work forward across multiple workstreams in a global or decentralized organization.Strong analytical and facilitation skills, and excellent written, verbal and presentation skills, with the ability to turn complex findings into clear, executive-ready recommendations and roadmaps.Collaborative approach and genuine interest in developing others, including explaining complex concepts simply and giving junior colleagues clear direction they can act on.Strong organization and prioritization skills, with the ability to manage competing demands while maintaining momentum and quality.Preferred SkillsExperience in one or more of the following areas would be beneficial:Enterprise content and AI platforms such as Adobe Experience Manager, Azure AI Search, Microsoft Copilot Studio or comparable technologies.Taxonomies, ontologies, semantic models or structured-content approaches that support AI retrieval or agentic use cases.Content-readiness assessments, retrieval evaluation or knowledge-health measurement.Regulated, global or decentralized organizations, preferably supporting HR or employee-service experiences.Change adoption, author enablement or capability-building related to new content standards and ways of working.