AI Automation and Business Analysis
Roles Responsibilities The role is responsible for delivering small iterative AIenabled automations with rapid turnaround typically within days to weeks while preparing larger opportunities for formal DAAI engagement The ideal candidate combines strong business analysis capability with handson experience using tools such as Microsoft Copilot Studio Claude code Appian promptdriven workflows and agentic AI concepts The role will support the GCOO team backlog by assessing demand clarifying scope preparing use cases building proofs of concept and helping business stakeholders adopt practical AI solutions safely and effectively Key Responsibilities Rapidly build smallscale AI automations prototypes and proofofconcept solutions using Microsoft Copilot Studio Claude code Appian promptdriven workflows and other approved enterprise tools Design and refine prompts agent instructions workflow logic validation checks and humanintheloop 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 deliveryready 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 Monitor delivered automations for usage effectiveness issues feedback and opportunities for continuous improvement or scaleup through formal DAAI delivery channels Desired Candidate Profile Bachelor s degree in business Computer Science Information Technology Engineering Data Analytics or a related discipline 23 years of handson experience with Microsoft Copilot Studio Claude code Appian workflow automation lowcode nocode platforms or similar enterprise automation tools Working knowledge of generative AI agentic AI concepts prompt engineering retrievalbased solutions humanintheloop review and AIassisted business workflows Ability to rapidly prototype practical automations test outputs refine prompts workflows document limitations and convert learnings into scalable delivery requirements 5 10 years of experience across business analysis process automation digital transformation technology delivery product ownership or AIenabled operations Strong business analysis skills including stakeholder engagement process discovery requirements elicitation user story writing acceptance criteria definition and benefits articulation Good understanding of data handling access controls auditability operational risk information security and responsible AI considerations in a regulated banking environment Strong communication skills with the ability to explain AIenabled solutions tradeoffs risks and business value to both technical and nontechnical stakeholders Experience working in Agile delivery environments and managing small backlogs prioritization forums demos and iterative delivery cycles is preferred