AI Knowledge Analyst I

Role Summary The AI Knowledge Analyst is a member of the Customer Care and Managed Services team, responsible for ensuring the knowledge ecosystems that power GHX's operations and AI platforms are accurate, well-governed, and continuously improving. This role works closely with leadership, SMEs, data scientists, and operational teams to identify content gaps, manage knowledge lifecycles, and translate business needs into structured, AI-ready information assets. The AI Knowledge Analyst is equally comfortable working through a detailed content audit and presenting a structured recommendation to leadership. Strong organizational skills, clear communication, and a bias for action are required. This is a role for someone who treats knowledge gaps as solvable problems and can move from gap identification to resolution with minimal direction. Core Focus Areas Knowledge Governance & Lifecycle Management Maintain, organize, and govern the knowledge assets that support Customer Care and Managed Services teams. This includes managing intake, triage, and routing of knowledge requests; driving SME review cycles; and ensuring content is accurate, current, and ready for both human use and AI ingestion. AI Knowledge Readiness Identify, structure, and groom content that feeds GHX's AI platform. Partner with AI and data teams to ensure knowledge assets are formatted, accurate, and optimized for ingestion. Monitor AI solution performance and drive content improvements that translate into measurable efficiency gains. Roles & Responsibilities Knowledge Management & Content Quality Manage the intake, triage, and routing of knowledge-related requests from operational teams. Maintain content lifecycle through SME review checkpoints — flagging material for update, review, or archival on a consistent cadence. Identify obsolete, duplicate, or conflicting content and drive resolution through appropriate stakeholders. Conduct knowledge audits and implement improvement cycles based on performance data and stakeholder feedback. Translate operational knowledge into structured, AI-ingestible formats ensuring accuracy, consistency, and taxonomy compliance. AI Knowledge Readiness & Technology Structure and groom knowledge content for ingestion into GHX's AI platforms; ensure format, tagging, and taxonomy standards are met. Monitor AI platform performance related to knowledge quality; recommend and track content-driven improvements. Partner with data scientists and AI developers to understand ingestion requirements and close content gaps. Stay current on trends in AI knowledge management, large language model content requirements, and KM tooling. Process Improvement & Analysis Analyze and document knowledge workflows, identifying gaps or structural issues that reduce content usability or AI accuracy. Interpret usage data, feedback trends, and engagement metrics to recommend improvement opportunities. Support implementation of…