Business Analyst – AI / GenAI & Azure Platforms

We have an urgent requirement for Business Analyst – AI / GenAI & Azure Platforms  is required for our banking client in Abu Dhabi, UAE

Strong experience AI / GenAI Solution Analysis is THE MUST

Strong experience on LLM-driven applications (chatbots, analytics, decision-support systems) is THE MUST

Strong experience on   Azure AI services, Azure OpenAI, Cognitive Services is THE MUST

Experience on Power BI Dashboards & Reporting is MUST

Strong exprince as Business Analyst – AI / GenAI, Azure Platforms, Power BI is MUST

The Business Analyst – AI / GenAI acts as a bridge between business stakeholders and AI engineering teams, translating business requirements into Azure-based AI/GenAI solutions. The role defines use cases, success metrics, data requirements, and validation strategies for LLM-driven applications, while delivering actionable insights via Power BI dashboards.

Key Responsibilities

• Engage with business stakeholders to gather and document AI/GenAI requirements
• Define use cases, success metrics, and validation strategies for LLM-driven applications (chatbots, analytics, decision-support systems)
• Translate business requirements into technical specifications for AI engineering teams on Azure platforms
• Implement interactive dashboards and visualizations using Power BI for reporting and decision support
• Collaborate with data engineers, AI developers, and platform teams to ensure feasible, scalable, and accurate AI solutions
• Ensure data quality, governance, and compliance in AI/GenAI projects
• Provide business analysis, reporting, and recommendations to support AI adoption and ROI

Mandatory Skills & Qualifications

• Hands-on experience in AI/GenAI projects on Azure (Azure AI, Azure OpenAI, Cognitive Services)
• Strong experience with Power BI dashboard design and implementation
• Understanding of LLM applications, chatbots, analytics, and decision-support systems
• Strong business analysis skills: requirements gathering, use case definition, success metrics, data validation