Business Analyst

Title: AI Enablement Specialist / Business Analyst

Base pay range: $80,000.00/yr - $/yr

You are the bridge between our client’s business teams and our IT Team. Your primary responsibility is to drive business value from employees using AI effectively in their daily work, whether that means teaching them how to use tools like Microsoft Copilot for everyday tasks or designing and managing the development and implementation of more advanced AI Agent.

You spend time embedded with business users—observing workflows, understanding pain points, and identifying opportunities where AI can improve efficiency, accuracy, or decision‑making. For some use cases, this means coaching users on how to apply Copilot and generative AI tools directly (e.g., drafting, analysis, summarization, research, and task automation) without building custom solutions.

When more advanced capabilities are needed, you lead the creation of AI Agents by rapidly prototyping using Co‑Pilot Studio. Once a solution demonstrates value, you partner closely with IT and engineering to transition those pilots into fully integrated, secure, and scalable solutions. Your success is measured by adoption, productivity gains, and how naturally AI becomes part of everyday work.

• Strong business analysis experience, including process mapping, requirements gathering, and working directly with frontline users
• Hands‑on experience using low‑code or no‑code AI tools (e.g., ChatGPT, Copilot, Power Automate, workflow tools) to prototype AI Agents
• Practical understanding of how generative AI and automation can be applied to real business problems
• Ability to translate business problems into AI use cases and clearly communicate requirements to IT and engineering teams
• Excellent communication and facilitation skills, with the ability to explain AI concepts in plain language and guide users through change
• Strong bias toward experimentation, iteration, and user adoption over theoretical or purely technical solutions
• Experience supporting or partnering with IT, data, or engineering teams on solution delivery

• Experience working with structured and semi‑structured data (Excel, SharePoint, or data exports) to support AI use cases
• Experience building prompt libraries, AI playbooks, or internal training materials
• Experience building or supporting retrieval‑based AI solutions (e.g., using documents, knowledge bases, or databases as AI context)

• Business users are confidently using Microsoft Copilot and AI tools for everyday tasks
• High‑value Agentic AI use cases are identified through direct user engagement
• Low/no‑code AI Agents are built, tested, and validated with users
• Proven pilots are handed off to IT for scalable integration
• AI becomes part of normal workflows—not just isolated demos

• Not a software engineer
• Not a data scientist
• Not responsible for building or maintaining production systems
• Not focused on deep ML model development or infrastructure

• 401(k)
• Health insurance

Full‑time, Permanent