AI Automation & Business Analysis

Greetings,

• Role: AI Automation & Business Analysis

• Experience: - 10 -15 years

• Location: Abu Dhabi

• Employment type: Full-time

About Company

Diversity, Equity, and Inclusion

Group Function And Role Purpose

Key Accountabilities

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.
• Monitor delivered automations for usage, effectiveness, issues, feedback, and opportunities for continuous improvement or scale-up through formal DAAI delivery channels.

Required Skills And Qualifications

• 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.
• 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 AI-enabled 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 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.

Change Advocate And Delivery Accelerator

• Identifies high-value opportunities for AI-enabled improvement, challenges manual ways of working, and helps teams adopt practical automation in a controlled, iterative, and measurable manner.

Analytical And Innovation Mindset

• Connects business needs, process pain points, AI capabilities, data constraints, and governance requirements to shape pragmatic solutions that can be tested quickly and scaled responsibly.