AI Business Systems and Prompt Analyst - Temp

Gallagher Benefit Services helps organizations navigate people decisions and build better workplaces through benefits, wellbeing, and workforce solutions. The AI Business Systems and Prompt Analyst translates business problems into AI use cases, documents requirements, develops low-code/no-code AI solutions and prompts, and operationalizes responsible generative AI across business functions.

Responsibilities:

• 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

Requirements:

• You must meet our U.S. and Canada Eligibility requirements for work authorization
• • Bachelor's Degree
• • Business Analysis Certification (IIBA CBAP, CCBA, CBDA, or PMI-PBA)
• • Agile Delivery Certification (CSM, PSPO, or SAFe)
• • Cloud AI or Data Certification aligned with the Microsoft platform
• • Senior-Level Professional with 3 to 6 years of relevant experience
• • Experience partnering with business stakeholders to gather requirements and translate them into AI-enabled workflows, acceptance criteria, and measurable success metrics, preferably within a Microsoft ecosystem
• • Proven experience designing and optimizing Large Language Model (LLM) prompts for:
• • Hands-on experience with Microsoft Power Platform and related developer tools, including:
• • Experience testing and validating AI solutions through:
• • Strong written and verbal communication skills, including:
• • Ability to create and maintain:
• • Solid understanding of advanced prompt engineering concepts, including:
• • Ability to work independently as an individual contributor while managing multiple priorities and delivering high-quality results within established timelines
• • Bachelor's degree in Business, Information Systems, Computer Science, Analytics, or a related field, or equivalent practical experience