AI Analyst

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The AI Change Analyst owns how change moves through AJ Gallagher's AI portfolio. Reporting to the Director of AI Technology, you will manage change requests across every AI project and production system the team runs - RAG pipelines, Azure AI Foundry and Copilot Studio agents, and M365 Copilot integrations - from intake and impact assessment through approval, scheduling, deployment, and post-implementation review.

AI systems change in ways traditional applications don't: a model version is retired, a prompt is reworded, a knowledge source is re-indexed, an agent gains a new tool - and any of these can change what users see without a line of application code changing. You will make sure each of those changes is assessed, approved by the right people, and traceable, working with AI developers, engineering leadership, the AI Support Manager, and business stakeholders so that for any AI system in production the team can show what changed, who approved it, and why.

You will also help build change control into the delivery tooling itself via Azure Dev Ops pipelines, environment approvals, and work item traceability so the governed path is also the fastest one.

• Own Change Request Intake and Lifecycle: Run intake, logging, and tracking for change requests across every AI project and production system - scope changes to in-flight initiatives as well as changes to live systems - ensuring each request states its scope, rationale, affected systems, test evidence, and rollback plan before it enters review, and following it through to closure.
• Assess Impact and Risk: Evaluate each change for its effect on users, downstream integrations, data access, cost, and compliance; classify it as standard, normal, or emergency and route it to the right approvers. For scope changes, quantify the effect on schedule, cost, and dependent projects, and work with the AI Business Analyst to keep requirements traceability current.
• Bring AI-Specific Changes Under Control: Treat model version upgrades and model retirements, prompt and agent instruction changes, Azure AI Search index and knowledge-source changes, and new agent tools or connectors as changes in their own right, and require evaluation results showing no regression in groundedness or accuracy before they are approved.
• Run the Change Process: Maintain the AI team's change policy, request templates, and catalog of pre-approved standard changes; facilitate the team's change review meetings, prepare the evidence approvers need, record decisions, and maintain the change calendar, including release windows and freeze periods.
• Coordinate Changes Across Projects: Identify conflicts and dependencies between changes planned by different initiatives - shared Azure AI Search indexes, shared Foundry resources, shared connectors and APIs - and sequence them so one team's release doesn't break another's.
• Build Change…