IT Knowledge Management Analyst

For over 30 years, Cook Systems has partnered with organizations across the country to solve technology challenges and build strong technology teams. As a veteran-owned IT consulting company, we combine decades of industry experience with a continued focus on how technology, AI, and the way people work are evolving.

Our work spans technology consulting, talent development, and AI-enabled solutions. We value people who take ownership, adapt quickly, communicate well, and care about the quality of their work. Whether you’re early in your career or bringing years of experience, you’ll have the opportunity to keep building your skills, contribute to meaningful client work, and grow with a company that continues to evolve with the industry.

IT Knowledge Management Analyst

Memphis, TN (hybrid/3 days onsite)

6 months (should be extended, work orders are issued in six-month increments)

The IT Knowledge Management Analyst enables our technology teams to create, organize, and maintain high-quality information. Working closely with Sr. Advisor for Knowledge Management, the analyst will operationalize Knowledge Management standards and best practices to improve our knowledge from multiple perspectives: accuracy, consistency, findability, and usability, etc.

To support our ongoing AI Adoption, this person will also leverage AI agents to assess knowledge at scale, identify gaps and improvement opportunities, and support ongoing knowledge health. The ideal analyst is detail-oriented with strong writing skills.

They can flexibly apply experience in Knowledge Management, AI enablement, governance, and continuous improvement to ensure trusted knowledge is accessible to employees and optimized for AI-powered discovery and reuse.

ESSENTIAL JOB FUNCTIONS: 

Partner with teams to establish sustainable knowledge-management practices, ownership, standards, and lifecycle processes to govern policies, procedures, SharePoint lists and other technical documentation.

Manage standard knowledge activities including reviews, remediation, consolidation, archival, and retirement of outdated content.

Develop and apply knowledge-quality rubrics measuring accuracy, completeness, clarity, consistency, findability, and ownership.

Build and leverage AI agents to evaluate knowledge against established rubrics, identify gaps, and recommend improvements.

Design testing methodologies to validate agent evaluations for accuracy, consistency, and effectiveness in documentation and prompts.

Improve knowledge structure, metadata, organization, searchability, and suitability for AI retrieval and reuse.

Self Starter capable of multitasking and prioritizing individual and collaborative work.

Detail oriented in writing and editing technical documentation with clarity to promote self-service and consistency.

REQUIREMENTS: 

1-3 years of related experience.

Education in IT, Information Systems, Management Information Systems (MIS); Technical Communication / Professional Writing or experience with Knowledge Management / Information Management

Familiarity or previous background in AI agents, content governance, analytical problem-solving

Enterprise knowledge platforms such as Confluence, SharePoint, or Microsoft 365

Experience working with and maturing a taxonomy or knowledge/info architecture for ease of usability by people with and without AI assistance

Additional considerations for candidates with 1-3 yrs experience in IT if also paired with background in Library and Information Science or Social Sciences