Business Analyst -AI/ML

Job Role:

Business Analyst Location:

Dubai (Onsite)

Note: Looking for someone who are willing to relocate

We are seeking an experienced

AI / ML Business Analyst

to support enterprise AI initiatives by translating

business problems into AI/ML use cases , defining success metrics, and ensuring measurable business value. The role acts as the

business anchor for AI products , working closely with AI Engineers, Product Owners, and stakeholders—without requiring hands-on technical or coding expertise.

Key Responsibilities 1) AI Use Case Discovery & Framing Identify and define

AI / ML use cases

aligned to business strategy. Translate business challenges into

AI-ready problem statements . Define objectives, assumptions, constraints, and expected outcomes. 2) Requirements for AI & ML Solutions Gather and document: Business requirements Functional AI requirements (inputs, outputs, decisions, automation scope) Non-functional requirements (accuracy targets, explainability, compliance, SLAs) Create

AI-specific BRDs, user stories, and acceptance criteria . Ensure requirements are feasible, measurable, and aligned to AI delivery timelines. 3) KPI, Value & ROI Definition Define KPIs for AI solutions (accuracy, automation %, time saved, cost reduction). Build

business value and ROI models

for AI initiatives. Track post-deployment benefits realization. 4) Stakeholder & AI Team Collaboration Act as the primary business interface for: AI Engineers Data Science teams Product Owners Facilitate workshops on AI feasibility, scope, and prioritization. Ensure business expectations are aligned with AI system capabilities. 5) Governance, Risk & Responsible AI Support Support AI governance processes (approvals, documentation, audits). Identify business risks related to AI adoption, bias, explainability, and compliance. Ensure alignment with Responsible AI principles from a business perspective.

Core Competencies Strong experience working on

AI / ML or analytics-driven initiatives Business requirements management for data-driven systems KPI definition and value realization Excellent stakeholder communication and facilitation skills

Preferred Qualifications Experience in

real estate / construction AI use cases Exposure to AI concepts such as: ML models, RAG, AI agents (conceptual understanding) Certifications (nice-to-have): Lean Six Sigma Agile Business Analysis

What Success Looks Like Clearly defined AI use cases with measurable outcomes Strong alignment between business goals and AI delivery High adoption and value realization of AI solutions Reduced scope creep through strong AI-specific requirements