AI & Digital Experience Analyst

HUMAN-AI-Z Nexus Technology; Dubai; On-site; AED 90,000 - 130,000; Full time

Job summary

HUMAN-AI-Z Nexus Technology in Abu Dhabi seeks an AI & Digital Experience Analyst to translate AI architectures into prototypes and drive enterprise AI adoption. You will coach end users to build agents in Microsoft Copilot Studio, from simple bots to advanced agents with topics, actions, connectors, and knowledge sources.

You will bridge AI development with user experience, measure impact, and develop dashboards and storytelling to show automation benefits and system uptime improvements.

Qualifications

• Bachelor's degree in Artificial Intelligence, Computer Science, Information Technology, or a related technical field.
• Strong understanding of Large Language Models (LLMs), prompt engineering, and AI toolsets.
• Hands-on familiarity with Microsoft Copilot and Copilot Studio, including agents, topics, actions, connectors.

Responsibilities

• AI Prototyping & Execution: build internal AI agents and automation tools from design to functional models.
• Copilot Studio Expertise: guide end users to design, build and publish agents with advanced capabilities.
• Enterprise AI Adoption: lead training programs to drive adoption of Microsoft Copilot and digital workplace tools.
• Governance & Best Practice: share templates and guardrails for secure, compliant Copilot Studio agents.

Skills

Data analysis

AI/ML basics

Customer Experience UX

Digital Analytics tools

Education

Bachelor's degree in AI/CS/IT

Tools

Microsoft Copilot

Copilot Studio

Python

PowerShell

Job description

Job Code: JPC - 6104

Job Title: AI & Digital Experience Analyst

Job Location: Abu Dhabi

Contract: 12 Months

Job Summary

The AI & Digital Experience Analyst serves as the execution and innovation engine for the Technology Operations division. Reporting directly to the Associate Director of Technology Operations, this role focuses on translating high-level AI architectures into functional prototypes, driving enterprise-wide AI adoption, including Microsoft Copilot, and measuring the operational impact of the Technology Operations division.

The role acts as the in-house Copilot Expert, responsible for enabling and coaching end users to build their own agents in Microsoft Copilot Studio, including advanced, multi-step agents that connect to enterprise data and automate business workflows.

The Analyst bridges the gap between technical AI development and end-user experience, ensuring that Technology Services is positioned as a proactive, value-driving partner to the business.

Core Accountabilities

AI Prototyping & Execution: Act as the primary builder for internal AI agents and automation tools, transforming architectural designs and logic workflows provided by Tech Ops leadership into testable, functional models.

Copilot Studio Expertise: Serve as the subject-matter expert for Microsoft Copilot Studio, helping end users design, build, and publish their own agents, from simple question-and-answer bots to advanced agents with custom topics, actions, connectors, knowledge sources, and orchestration.

Enterprise AI Adoption: Lead user campaigns and training programs across the organization to drive adoption of digital workplace tools, specifically spearheading Microsoft Copilot training initiatives.

Strategic Impact Reporting: Design and maintain executive dashboards and Impact Stories that translate complex Tech Ops achievements, such as automated ticket deflection, infrastructure cost savings, and system uptime, into clear business-facing metrics.

Operational Responsibilities

Copilot Studio Enablement: Run hands-on workshops and one-to-one coaching sessions that guide end users through building agents in Microsoft Copilot Studio, including advanced capabilities such as custom topics, generative actions, knowledge sources, connectors, and agent orchestration.

Model Training & Testing: Ingest, format, and structure internal data, including policies and IT documentation, for AI knowledge bases. Conduct rigorous prompt testing, log hallucination rates, and refine agent outputs prior to production deployment.

Digital Experience Advocacy: Conduct live training sessions and workshops with business units to demonstrate the capabilities of deployed AI tools and gather user feedback for continuous improvement.

Proof of Concept (PoC) Development: Rapidly build internal PoCs using existing platforms to validate business requests before full implementation approval.

Governance & Best Practice: Define and share reusable templates, guardrails, and best-practice guidance so that user-built Copilot Studio agents remain secure, compliant, and aligned with organizational standards.

Performance Tracking: Monitor the daily usage and success rates of deployed AI Service Desk agents and provide weekly analytics on automated ticket resolution.

Job Qualifications & Experience

5 10 years of overall experience. Bachelor s degree in Artificial Intelligence, Computer Science, Information Technology, or a related technical field. Strong foundational understanding of Large Language Models (LLMs), prompt engineering, and AI toolsets. Hands-on familiarity with Microsoft Copilot and Microsoft Copilot Studio, including building and configuring agents, topics, actions, and connectors. Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical business users. Basic scripting capability, such as Python or Power Shell, for data formatting and API interactions. High capacity for independent problem-solving and rapid prototyping. Keep up to date with the latest AI tools and model releases and identify opportunities to leverage them internally. High-agility, cloud-first infrastructure requiring rapid adaptation to new AI frameworks and continuous learning.

Skills

data analysis, AI/ML Basics, Customer Experience (CX) / User Experience (UX), Digital Analytics tools