# Business Analyst - AI Projects

> Master-Works · Riyadh, Saudi Arabia · Full-time · Posted 2026-05-05

**Workplace:** on_site

**Department:** Information Technology Management - Nabeh

## Description

We are seeking a **Business Analyst experienced in IT and AI projects** to act as the key link between business stakeholders and technical delivery teams. The role focuses on **business understanding, analytics translation, data readiness, business validation of AI models, and deployment alignment**, ensuring that AI and digital solutions deliver measurable business value.

The Business Analyst will work closely with **Project Managers, Product Owners, Data Scientists, AI Engineers, and Stakeholders**, following an **iterative, analytics-driven delivery approach** aligned with industry best practices.

### 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.

### Key Deliverables

-   Business Requirement Documents (BRDs)
-   AI / Analytics Use-Case Definitions
-   Data Requirement & Data Readiness Assessments
-   Business Rules for Data Preparation
-   UAT Scenarios and Acceptance Criteria
-   Business Validation & Deployment Support Reports

## Requirements

### 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 Certifications

### 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
-   **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**

## Apply

[Apply at Master-Works](https://apply.workable.com/masterworksco/j/ACC66EBFF7/apply)

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