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