Senior Business Analyst

We are seeking an experienced and insightful Senior Business Analyst to join our Emerging Technologies department, reporting directly to the General Manager - Emerging Technologies. This role focuses on leading the business analysis function across AI and Machine Learning initiatives that are shaping the future of intelligent automation, predictive analytics, and data-driven services in alignment with Saudi Arabia's Vision 2030.

The ideal candidate will be responsible for bridging business goals with AI/ML capabilities, identifying innovation opportunities, and ensuring solutions are tailored to meet the strategic objectives of public or private sector stakeholders.

Requirements


Key Responsibilities

• Work under the direction of the General Manager - Emerging Technologies to define the business strategy, roadmap, and scope for AI/ML initiatives across various sectors
• Lead requirement-gathering sessions with internal stakeholders, government clients, and industry partners to identify pain points, digital transformation priorities, and AI opportunities
• Translate complex business needs into detailed AI/ML use cases, functional requirements, and data specifications that are aligned with both technical and strategic goals
• Evaluate current-state business processes and propose target-state models enabled by AI solutions, including automation, intelligent classification, and decision support systems
• Collaborate with data scientists, ML engineers, and architects to define model inputs, expected outputs, and key performance indicators (KPIs)
• Oversee documentation of Business Requirement Documents (BRDs), user stories, and acceptance criteria. Ensure traceability across the solution development lifecycle
• Support PoCs and pilots for AI solutions, providing feedback on business performance, feasibility, and stakeholder satisfaction
• Ensure AI use cases comply with local data laws, including the Personal Data Protection Law (PDPL), and align with SDAIA's National Strategy for Data and AI
• Drive change management, stakeholder alignment, and user adoption for AI-enabled digital services
• Stay updated on local and global AI/ML trends, ethics, explainability practices, and regulatory frameworks
  
  
  

• Bachelor's or Master's degree in Business Administration, Computer Science, Information Systems, Data Science, or a related field
• Minimum 7 years of experience, with at least 3 years in AI/ML projects in a business analysis or product role
• Strong understanding of AI/ML concepts, including supervised/unsupervised learning, NLP, model lifecycle, and data governance
• Experience working with government or enterprise-level digital transformation projects in Saudi Arabia
• Proficiency in requirement documentation, process modelling (BPMN/UML), and Agile frameworks (Scrum/Kanban)
• Familiarity with AI product workflows, PoC lifecycle, and KPIs such as accuracy, recall, and business impact
• Strong verbal and written communication skills in English; Arabic language proficiency is a plus
  
  
  

• Direct experience working with or within Saudi government entities, Vision 2030 programmes, or Giga Projects (e.g. NEOM, Red Sea, Diriyah Gate)
• Understanding of national frameworks and policies such as NORA (National Operations Reference Architecture), NDMO data governance, and enterprise architecture guidelines
• Exposure to cloud-based AI platforms (Azure ML, AWS SageMaker, or Google Vertex AI) and tools such as Power BI, Tableau, or Jupyter
• Knowledge of AI ethics, model transparency, and bias mitigation frameworks
  
  
  

• Strategic thinking with a strong focus on business value
• Excellent stakeholder engagement and communication skills
• Ability to work in a cross-functional team environment with agility
• High attention to detail and documentation quality
• Passion for innovation, emerging technologies, and continuous improvement
  
  
  

• Competitive salary and performance-based incentives
• Health insurance and family coverage
• Opportunities for professional development and AI/ML certifications
• Participation in high-impact national transformation projects