> Markdown version of [/jobs/ext/4720531-it-knowledge-management-analyst](https://www.wearedevelopers.com/jobs/ext/4720531-it-knowledge-management-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # IT Knowledge Management Analyst - **Company:** IDR, Inc. - **Location:** Memphis, TN, United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Confluence, Enterprise Content Management, Information Management, Knowledge Management, Metadata, Microsoft SharePoint, Agentic-AI, Information Technology - **Published:** November 14, 2026 - **Apply:** https://www.careerbuilder.com/job-details/it-knowledge-management-analyst-memphis-tn--87e0c9fe-c99d-4240-a4b3-eb2ddc576bd1 ## About the Role Knowledge Management, Analysis Skills, Knowledge Management, Analysis Skills, Usability Engineering, Continuous Improvement, Artificial Intelligence (AI), Quality Management, Support Documentation, Technical Writing, * 1-3 years of experience in knowledge management, information management, technical documentation, or a closely related discipline * Strong technical writing and editing skills with a detail-oriented approach to producing clear, consistent documentation * Experience with enterprise knowledge platforms (e.g., SharePoint, Confluence, or Microsoft 365) and content governance practices * Familiarity with taxonomy, metadata, and information architecture concepts to improve content discoverability and usability * Exposure to AI-enabled content evaluation (e.g., AI agents) and an analytical mindset for identifying quality gaps and improvement opportunities ## Description * Partner with technology teams to establish sustainable knowledge standards, ownership, and lifecycle processes for technical documentation * Maintain and improve knowledge health through reviews, remediation, consolidation, archival, and retirement of outdated content * Develop and apply knowledge-quality rubrics focused on accuracy, clarity, consistency, and findability * Leverage AI-enabled approaches to assess knowledge at scale, identify gaps, and recommend improvements * Improve information architecture, metadata, and searchability to support both human and AI-driven retrieval