Senior Knowledge Management Consultant, AI & Content Strategy | Level 4 (CAD) - RSR MSP

Lancesoft; Montreal; On-site; CAD 110,000 - 150,000; Full time

Job summary

Lancesoft in Montreal is seeking a Senior Knowledge Management Consultant, AI & Content Strategy. The role focuses on shaping HR knowledge architecture, content strategy and AI-enabled experiences for a global workforce.

You will guide HR leaders and SMEs, drive governance across channels and partner with Product and Technology to align roadmaps. On-site onboarding and ongoing presence are required in Montreal.

Qualifications

• Bachelor’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 taxonomy, metadata or content models.
• Practical experience applying generative AI or retrieval‑augmented generation (RAG) to enterprise knowledge or content.

Responsibilities

• Lead evolution of HR knowledge architecture and content strategy across decentralized HR teams.
• Advise HR leaders, content owners and SMEs on reducing fragmentation and adopting a governed model across channels.
• Evolve AI‑ready content standards as channels, product capabilities and AI experiences develop.
• Lead cross‑functional reviews to align HR, Product and Technology with executive‑ready roadmaps.
• Coaching KM team members on knowledge architecture and AI readiness.

Skills

Knowledge management

Information architecture

Content strategy

Generative AI

RAG

Stakeholder management

Communication

Education

Bachelor's degree or equivalent

Tools

Adobe Experience Manager

Azure AI Search

Microsoft Copilot Studio

Job description

Job Title: Senior Knowledge Management Consultant, AI & Content Strategy Location: Montreal (day 1 onboarding onsite/in-office presence required 4x/week) Years of experience: 7-10

Position Overview In the Human Capital Management division, we provide advice and insight to attract, retain, reward and develop a talented global workforce, giving employees the support and tools they need to succeed.

What you'll do in the role

• Lead 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 role

• Bachelor’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 Skills

• Experience 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.

EEO

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