IT Knowledge Management Analyst

• 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• Review, remediate, consolidate, archive, and retire outdated or redundant documentation.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.

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.