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# IT Knowledge Management Analyst

- **Company:** Ares Holdings, LLC
- **Location:** Memphis, TN, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Artificial Intelligence, Confluence, Software Documentation, Information Systems, Enterprise Content Management, Information Management, Information Retrieval, Knowledge Management, Microsoft SharePoint, Agentic-AI, Information Technology
- **Published:** November 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/it-knowledge-management-analyst-memphis-tn--2cfe94d4-7bfb-4710-b05b-19cf5ca988df

## About the Role

Knowledge Management, Analysis Skills, Knowledge Management, Analysis Skills, Documentation Standards, Artificial Intelligence (AI) Agents, Documentation, Test Design, Quality Assurance Methodology, Artificial Intelligence (AI), * 1-3 years of related experience.

 * Education in IT, Information Systems, MIS, Technical Communication, or Professional Writing, or relevant experience in Knowledge Management or Information Management.
 * Familiarity or prior background in AI agents, content governance, and analytical problem-solving.
 * Experience with enterprise knowledge platforms such as SharePoint, Confluence, or Microsoft 365.
 * Experience developing or improving taxonomy or knowledge/information architecture for both human and AI-assisted information retrieval.
 * Strong technical writing, editing, organizational, and attention-to-detail skills., * We also welcome candidates with 1-3 years of IT experience paired with a background in Library and Information Science or Social Sciences.

## Description

* Partner with technology teams to establish knowledge ownership, documentation standards, governance practices, and content lifecycle processes.
 * Review, remediate, consolidate, archive, and retire outdated or redundant documentation.
 * Develop and apply knowledge-quality rubrics covering accuracy, completeness, clarity, consistency, findability, and ownership.
 * Build and leverage AI agents to evaluate knowledge against established standards and identify improvement opportunities.
 * Design testing methodologies to assess the accuracy, consistency, and effectiveness of AI-agent evaluations of documentation and prompts.
 * Improve taxonomy, metadata, information architecture, searchability, and suitability for AI-powered retrieval.
 * Write and edit technical documentation to improve clarity, consistency, and employee self-service.
 * Independently prioritize and manage multiple assignments while collaborating with technology stakeholders.