Job Description
Key Responsibilities: Rapidly build small-scale AI automations, prototypes, and proof-of-concept solutions using Microsoft Copilot Studio, Claude code, Appian, prompt-driven workflows, and other approved enterprise tools. Design and refine prompts, agent instructions, workflow logic, validation checks, and human-in-the-loop controls to improve solution reliability and business usability. Partner with GCOO business teams to identify, assess, and prioritize lightweight AI automation opportunities that improve productivity, turnaround time, control, and service quality. Translate business problems into clear use cases, process maps, user stories, acceptance criteria, data needs, risks, and delivery-ready requirements for DAAI and technology teams. Bridge business stakeholders, DAAI specialists, platform teams, risk, compliance, and operations teams to accelerate use case discovery, readiness, and delivery alignment. Manage the GCOO AI automation backlog, including intake, triage, impact assessment, prioritization, dependency tracking, status reporting, and escalation of delivery risks. Assess solution feasibility, expected benefits, operational readiness, data availability, information security considerations, and responsible AI implications before progressing use cases. Support adoption by preparing guidance, demos, stakeholder communications, operating procedures, and handover material for business users and support teams. Bachelor's degree in Business, Computer Science, Information Technology, Engineering, Data Analytics, or a related discipline. 2-3 years of hands-on experience with Microsoft Copilot Studio, Claude code, Appian, workflow automation, low-code/no-code platforms, or similar enterprise automation tools. Working knowledge of generative AI, agentic AI concepts, prompt engineering, retrieval-based solutions, human-in-the-loop review, and AI-assisted business workflows.
5–10 years of experience across business analysis, process automation, digital transformation, technology delivery, product ownership, or AI-enabled operations. Strong communication skills with the ability to explain AI-enabled solutions, trade-offs, risks, and business value to both technical and non-technical stakeholders. Experience working in Agile delivery environments and managing small backlogs, prioritization forums, demos, and iterative delivery cycles is preferred.
