AI Business Analyst

Introduction

Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together.

Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way.

The AI Business Analyst is the link between AJ Gallagher's business units and the engineers, architects, and data engineers building the company's AI agents and pipelines. Reporting directly to the Director of AI Technology, you will serve as the dedicated business analyst across multiple concurrent AI initiatives at once rather than sitting inside a single delivery team, which means continually re-prioritizing discovery and requirements work as the portfolio shifts.

Generative AI tools now draft much of the first-pass documentation, so this role exists to do what those tools can't: frame ambiguous business problems before a line of code or a prompt gets written, own the business context and edge cases that must be captured accurately in AI retrieval sources and agent logic, and critically validate that AI-generated requirements, process maps, and test coverage are complete and correct.

You will partner closely with AI engineers, architects, and business stakeholders across each project's full lifecycle — not just at requirements handoff — in an environment where precision, traceability, and auditability are non-negotiable.

• Own Requirements Across a Multi-Project Portfolio: Serve as the primary business analyst for several concurrent AI initiatives — RAG pipelines, AI agents, software integration — working directly with the Director of AI Technology to prioritize and sequence discovery and delivery work as project needs shift.
• Frame Ambiguous Business Problems: Translate ambiguous requests from business stakeholders into precise, testable requirements before AI agent or software development begins, using generative AI tools to accelerate first drafts while owning the judgment on what's actually correct and complete.
• Capture the Business Context AI Systems Need: Own the edge cases, exceptions, and regulatory nuance that must be encoded into RAG retrieval sources, agent prompts, and decision logic, structuring that content so it's usable by the systems consuming it, not just readable by a person.
• Map Business Processes: Document current- and future-state process flows (Lucidchart or Mermaid diagrams) to identify where AI and automation create real value versus where a human-in-the-loop checkpoint is still required.
• Write Specs Engineers Can Build From: Translate validated requirements into user stories, functional specs, and acceptance criteria that AI engineers and architects can build directly against, reducing rework during sprints.
• Own UAT and Validation: Define test cases and acceptance criteria and coordinate user acceptance testing for AI agents and Copilot experiences, with particular attention to the edge cases and failure modes that AI-generated test coverage tends to miss.
• Facilitate Cross-Team Alignment: Run workshops and backlog grooming between business units and the AI delivery team, and act as the point of alignment when…