[Hiring] AI Business Systems and Prompt Analyst @Gallagher

Role Description

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.

• 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.

Qualifications

• Minimum Required Degree: Bachelor's Degree
• Preferred Degree: Bachelor's degree in Business, Information Systems, Computer Science, Analytics, or a related field, or equivalent practical experience.
• Certifications/Special Training:
  • 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
• Experience: Senior-Level Professional with 3 to 6 years of relevant experience

Requirements

• 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:
  • Document processing
  • Data extraction
  • Summarization
  • Classification
  • Decision support solutions
• Hands-on experience with Microsoft Power Platform and related developer tools, including:
  • Power Automate
  • Power Apps
  • Copilot Studio
  • GitHub Copilot
• Experience testing and validating AI solutions through:
  • Evaluation of prompt outputs against source documents and business requirements
  • Iterative testing and refinement
  • Quality assurance and traceability practices
• Strong written and verbal communication skills, including:
  • Leading requirements-gathering sessions
  • Facilitating troubleshooting discussions
  • Conducting stakeholder status meetings
  • Collaborating with both business and technical teams
• Ability to create and maintain:
  • Functional and technical documentation
  • Test plans
  • User guides
  • Process documentation
• Solid understanding of advanced prompt engineering concepts, including:
  • Prompt design patterns
  • Context management and grounding
  • Tool use and function calling
  • Retrieval-Augmented Generation (RAG)
• Ability to work independently as an individual contributor while managing multiple priorities and delivering high-quality results within established timelines.

Benefits

• Competitive compensation
• Comprehensive benefits programs designed to support your well-being
• Career development opportunities and ongoing learning
• A collaborative, people-first culture with accessible leadership
• The opportunity to do meaningful work with global reach and local impact