AI Business Systems and Prompt Analyst - Temp

Introduction At Gallagher Benefit Services, you’re a trusted partner to organizations navigating some of their most important people decisions. We help clients build better workplaces, where people feel supported, empowered, and inspired to thrive. Whether it’s shaping benefit strategies, designing wellbeing programs, or advising on workforce challenges, the work you do here creates meaningful change for businesses and the people who power them. We’re a community of bold explorers, trusted experts, and compassionate partners; working side by side to solve problems, and shape the future of work. Here, curiosity is encouraged, collaboration is second nature, and your ideas have room to grow. If you’re looking for a place where your contribution matters and where you can help build a better world of work; think of Gallagher. Overview We are seeking an AI Business Systems and Prompt Analyst to translate ambiguous business problems into well-defined AI use cases, document the data and process requirements, build low code / no code AI agents / prompts using approved technology stack, and play a pivotal role in operationalizing generative AI solutions for high-impact use cases across GBS functions. The AI Business Systems Analyst serves as the bridge between business stakeholders and the technical teams that design, build, and operate artificial intelligence and machine learning solutions. This is a hands-on analytical role rather than a purely documentation-focused one. The analyst is expected to interrogate data quality, evaluate whether an AI approach is genuinely warranted over a simpler rules-based or reporting solution, and hold vendors and internal teams to measurable outcomes. This is a Temp-To-Hire, W-2 or T4 (For Canada Citizen) position. We cannot do 1099 or C2C or Incorporation ((For Canada Citizen). It is a fully remote role that will need to be based in the U.S. or in Canada You must meet our U.S. and Canada Eligibility requirements for work authorization. How you'll make an impact Runs discovery sessions with business leaders, operations teams, and subject matter experts to identify pain points, manual workarounds, and decision bottlenecks where AI or intelligent automation can add value. Partners with business leaders to identify AI and automation use cases and evaluates feasibility, data readiness, expected business value, and associated risks. Elicits and documents functional and non-functional requirements for AI-enabled systems, including data sources, decision logic, human-in-the-loop checkpoints, latency expectations, and acceptance criteria. Translates business needs into clear functional requirements, prompt design documentation, test cases, and acceptance criteria. Maps current-state business processes and defines future-state workflows, clearly identifying which decisions are informed by AI, automated by AI, or retained by human users. Manages the intake process for AI and automation initiatives to support prioritization and governance. Maintains a prioritized backlog of use cases, including sizing, dependencies, and readiness status to guide investment decisions. Writes, versions, tests, and optimizes prompts (system, user, and tool-call prompts) to achieve desired functionality across multiple use cases. Develops low-code and no-code AI solutions, prompts, and agents using Microsoft Power Automate, Power Apps, Copilot Studio, Copilot, and Cowork. Designs robust prompt frameworks, patterns, and guardrails to ensure reliability, consistency, accuracy, and compliance. Applies responsible AI practices in collaboration with legal, privacy, security, and risk teams, documenting data lineage, intended use, limitations, and monitoring requirements for deployed solutions. Defines success metrics for each AI use case, establishes baseline performance measures, and reports realized business benefits after implementation. Leads change management activities, including stakeholder demonstrations, training development, process documentation, and post-launch support to encourage adoption and successful utilization. Builds and maintains strong relationships with stakeholders while providing regular project updates and setting expectations regarding AI capabilities, limitations, and risks. Creates and maintains functional specifications, prompt playbooks, technical documentation, operating procedures, and runbooks. Prepares stakeholder-friendly summaries of findings, performance results, risks, recommendations, and key outcomes. Contributes to enterprise standards and best practices for prompt governance, version control, and prompt reuse. Ensures compliance with data privacy, confidentiality, and regulatory requirements relevant to the insurance and risk management industry. Applies Responsible AI principles, including bias awareness, explainability, and auditability, and participates in model risk assessments and governance activities. Measures and continuously improves AI solution quality using metrics such as accuracy, consistency, precision, recall, latency, and cost efficiency. Competcies (Optional) Business Acumen - Ability to understand Gallagher business objectives, processes, and systems; translate complex business problems into AI‑enabled solutions; and assess downstream impacts, risks, and value of AI use cases. Use Case Identification & Requirements Definition - Owns the front end of the AI delivery pipeline — surfacing candidate use cases from across the business, qualifying them against a consistent feasibility and value standard, and converting the ones that survive into requirements precise enough for engineering and data science teams to build against without re-interpretation. Prompt Engineering & Generative AI - Expertise in Generative AI capabilities and tools; ability to create and test AI prompts to produce output based on requirements using Microsoft Power Automate, Power Apps, Copilot Studio, Copilot and Cowork. Data Privacy, Security & Responsible AI - Knowle