Knowledge Management Analyst - AI-Driven Content Quality

IDR, Inc.; Memphis (TN); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation package

Full Benefits; Medical, Vision, Dental

Opportunity to join an industry‑leadng

Job summary

IDR, Inc. in Memphis, TN seeks an IT Knowledge Management Analyst to help technology teams create, organize, and continuously improve high-quality knowledge content that supports self-service and operational excellence.

You'll partner with stakeholders to strengthen governance, findability, and usability of documentation for AI-powered knowledge discovery and reuse, while applying metadata, taxonomy, and information-architecture best practices.

Qualifications

• 1–3 years of experience in knowledge management or related discipline.
• Strong technical writing and editing skills for clear documentation.
• Experience with enterprise knowledge platforms and governance.
• Familiarity with taxonomy, metadata, and information architecture concepts.

Responsibilities

• Partner with tech teams to establish knowledge standards and lifecycle processes.
• Maintain knowledge health through reviews, remediation, and archival.
• Develop rubrics focused on accuracy, clarity, findability.
• Leverage AI-enabled approaches to assess knowledge at scale.
• Improve information architecture and searchability for humans and AI.

Skills

Knowledge management

Technical writing

Content governance

Metadata & taxonomy

AI evaluation

Information architecture

SharePoint

Confluence

Microsoft 365

Analytical mindset

Tools

SharePoint

Confluence

Microsoft 365

Job description

IDR, Inc. in Memphis, TN seeks an IT Knowledge Management Analyst to help technology teams create, organize, and continuously improve high-quality knowledge content that supports self-service and operational excellence.

You'll partner with stakeholders to strengthen governance, findability, and usability of documentation for AI-powered knowledge discovery and reuse, while applying metadata, taxonomy, and information-architecture best practices.