Business Analyst - AI Projects

Overview

Key Responsibilities

• Business Understanding
• Engage stakeholders to identify business objectives, scope, success criteria, KPIs, and use-case goals.
• Document business requirements and expected outcomes in structured BRDs.
• Identify stakeholders, decision owners, and approval authorities.
• Support scope definition, change management, and business risk identification.

• Analytics & AI Approach

• Translate business needs into clear analytical and AI requirements.
• Collaborate with technical teams to define the appropriate analytics or AI approach (e.g., predictive analytics, NLP, computer vision, automation).
• Define assumptions, constraints, dependencies, and success metrics.
• Ensure alignment between business expectations and technical feasibility.
• Data Understanding
• Identify required data sources (internal, external, structured, unstructured).
• Validate data relevance, availability, quality, and ownership.
• Highlight data gaps, risks, governance, privacy, and compliance concerns.
• Support early data feasibility and readiness assessments.

• Data Preparation (Business Rules)

• Define business rules for data cleansing, transformation, labeling, and aggregation.
• Validate data readiness for analytics and AI modeling.
• Review data samples and annotated datasets from a business perspective.
• Coordinate with data teams to ensure alignment with use-case objectives.

• Modeling (Business Validation)

• Review AI and analytics outputs from a business and KPI perspective.
• Validate that model results meet business success criteria, not only technical accuracy.
• Support UAT activities, scenario validation, and exception handling.
• Provide structured feedback for model refinement and optimization.

• Deployment & Adoption

• Support deployment readiness by validating business workflows and operational impact.
• Ensure AI outputs are usable, interpretable, and aligned with end-user needs.
• Assist in defining acceptance criteria, user guidelines, and handover documentation.
• Support post-deployment monitoring and business value realization.

• Data Requirement & Data Readiness Assessments

• Business Rules for Data Preparation
• UAT Scenarios and Acceptance Criteria

Experience

• Minimum 3+ years as a Business Analyst in IT, AI, or data-driven projects.
• Hands-on experience working with technical and analytics teams.
• Strong understanding of AI / analytics project lifecycles.

Language Requirements

• Strong Arabic language skills (spoken and written) - mandatory.
• Strong English language skills (spoken and written) - mandatory.
• Ability to prepare bilingual documentation and lead discussions in both languages.

Technical & Business Skills

• Strong requirements gathering and documentation skills.
• Ability to translate complex business needs into structured analytical requirements.
• Experience with KPIs, dashboards, and data-driven decision-making.
• Excellent stakeholder communication and facilitation skills.

Required / Highly Preferred

• CBAP - Certified Business Analysis Professional (IIBA)
• CCBA - Certification of Competency in Business Analysis (IIBA)
• PMI-PBA - Professional in Business Analysis (PMI)

AI, Data & Analytics (Strong Advantage)

• CPMAI - Certified Professional in Managing AI

Agile & Delivery Frameworks (Preferred)

• ICAgile Certified Professional - Business Analysis (ICP-BA)

Soft Skills

• Strong analytical and critical-thinking skills
• Business-value-driven mindset
• High attention to detail
• Ability to challenge assumptions constructively
• Strong communication and collaboration skills
• Good to Have
• Experience in government or regulated environments
• Familiarity with data governance and compliance standards
• Experience in AI, smart systems, or digital transformation programs