We're looking for a Senior Knowledge Management Specialist to help organizations identify, capture, and operationalize critical business knowledge.

You'll work with stakeholders and subject matter experts to uncover knowledge often hidden in processes, documents, and people's experience, transforming it into structured, reusable assets that support business operations, process transformation, and AI-powered solutions.

You'll also help NTConsult establish a repeatable Knowledge Management methodology that can be applied across clients and industries. 

Freedom to work remotely. Responsibility to build with purpose.

Responsibilities

• Identify critical organizational knowledge, gaps, and opportunities for improvement.
• Conduct stakeholder interviews and discovery sessions to capture explicit and tacit knowledge, including decision criteria, exceptions, and lessons learned.
• Transform knowledge into reusable assets such as knowledge maps, playbooks, guidelines, and knowledge bases.
• Validate captured knowledge with stakeholders, ensuring accuracy, usability, and effective transfer.
• Develop and refine Knowledge Management methodologies, templates, and best practices.
• Collaborate with Business Analysts, Knowledge Architects, and technical teams to support process improvement, automation, and AI initiatives.

Requirements

• Strong hands-on experience in Knowledge Management, particularly knowledge discovery, elicitation, and transfer.
• Proven ability to extract tacit knowledge and translate complex information into clear, actionable knowledge assets.
• Experience applying and improving Knowledge Management methodologies and frameworks.
• Strong analytical, communication, and stakeholder facilitation skills.
• Ability to work across business and technical teams in complex operational environments.

Nice to Have

• Experience establishing Knowledge Management practices in consulting or technology environments.
• Experience in regulated industries such as legal, financial services, or insurance.
• Experience preparing enterprise knowledge for AI-powered solutions, including RAG and enterprise search.
• Familiarity with taxonomies, ontologies, or knowledge graphs.