Business Analyst - AI Projects

Overview

Key Responsibilities

• 1.
• 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.
• 2.
• 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.
• 3.
• 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.
• 4.
• 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.
• 5.
• 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.
• 6.
• 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.
• Professional CertificationsRequired / 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
• **IBM Data Analyst Professional Certificate**
• **Google Data Analytics Professional Certificate**
• Agile & Delivery Frameworks (Preferred)* **ICAgile Certified Professional – Business Analysis (ICP-BA)**
• **SAFe® Business Analyst (SAFe BA)**
• **Certified Scrum Product Owner (CSPO)**
• **PMI-ACP (Agile Certified Practitioner)**
• 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**