Specialist - AI & Data Architect

Description

Summary: This role involves leading the strategic development and execution of AI and data-driven solutions, enhancing customer experience, and fostering innovation within the organization. Highlights: 1. Lead AI and data strategy in alignment with business goals 2. Oversee development and deployment of machine learning and AI models 3. Mentor and develop high-performing data science and AI teams Communication Internal Communication: Internal Business Units All Internal Department Senior Leadership Team Purpose:  Innovation in AI Products and Services  Customer Experience Enhancement:  Data Integration and Democratization  Predictive and Prescriptive Analytics  Change Management and Adoption of AI  Cloud and Scalable AI Infrastructure  Data Governance and Ethics External Communication: External IT Vendors Software Integrators Occupational Health \& Safety and Environment Accountability: Are accountable for their acts and omissions. Responsibility: To follow agreed safe systems of work; to follow training and instructions; and to report accidents, incidents and near misses. Authority: To stop work if they think the work is unsafe. Education \& Professional Qualification: Bachelor’s Degree in Computer Science, Data Science Artificial Intelligence, Statistics, Mathematics, Engineering, Information Technology Master’s Degree (preferred): Data Science, Artificial Intelligence or Machine Learning, Computer Science, Business Analytics, Statistics or Applied Mathematics, Operations Research Professional Experience: * 8 years of hands\-on experience in data science, machine learning, or AI roles, including developing and deploying AI models and algorithms. * Experience with machine learning techniques, such as: * Supervised/Unsupervised Learning * Deep Learning (e.g., Neural Networks, CNNs, RNNs) * Natural Language Processing (NLP) * Computer Vision Geographic Experience: A plus Computer Skills: data science, machine learning, AI, including developing and deploying AI models and algorithms Language Skills: Business fluent English Arabic Language is an advantage. Strategic Leadership \& Vision * Define and execute the organization’s Data Science \& AI strategy in alignment with business goals. * Identify and prioritize opportunities where AI and data driven solutions enhance efficiency, customer experience, product offerings, and revenue generation. * Lead the design of a unified data and AI architecture, including the development of a scalable Data Lakehouse, semantic layers, feature stores, and streaming/batch data integration. * Drive the Generative AI roadmap—selecting LLM providers, designing RAG architectures, and enabling enterprise wide AI capabilities. * Oversee FinOps practices to optimize cloud and compute costs associated with AI, GPU workloads, and large scale data storage. AI \& Data Engineering Execution * Oversee the end to end development, validation, deployment, and lifecycle management of machine learning and AI models. * Implement CI/CD/CT pipelines to ensure automated, continuous, and reliable model updates. * Build and maintain vector database infrastructure to support semantic search, contextual AI, and long term knowledge retrieval. * Ensure data pipelines, platforms, and architectures are optimized for performance, scalability, and resilience. Governance, Risk, Compliance \& Ethics * Implement data governance, security, and privacy standards, including RBAC/ABAC and protection of PII and sensitive datasets. * Establish and monitor automated controls for model drift, fairness, explainability, and ethical use of AI. * Ensure compliance with relevant regulations (e.g., GDPR, HIPAA) and internal policies. * Maintain best practices for data quality, versioning, reproducibility, and auditability. Innovation \& Continuous Improvement * Lead experimentation with new algorithms, methods, and technologies to maintain a cutting edge AI ecosystem. * Promote a culture of continuous improvement, refining processes, tools, and models to enhance performance and business impact. Team Leadership \& Capability Building * Mentor and develop a high performing team of data scientists, AI engineers, and data professionals. * Oversee training and upskilling initiatives to ensure the team remains current with emerging technologies and methodologies. Stakeholder Management \& Communication * Serve as a strategic advisor between business and technical teams—translating business challenges into AI solutions and articulating AI outcomes clearly to non technical stakeholders. * Provide regular updates to leadership on progress, performance metrics, model outcomes, and business results. * Drive cross department collaboration to ensure successful adoption and integration of AI solutions. Technology, Tools \& Vendor Management * Lead the selection, integration, and management of AI platforms, data tools, and vendor partnerships. * Manage budgets for data science and AI initiatives, ensuring optimal allocation of resources. * Make decisions related to hiring, vendor selection, and solutions procurement that support strategic AI objectives. Education \& Professional Qualification: Bachelor’s Degree in Computer Science, Data Science Artificial Intelligence, Statistics, Mathematics, Engineering, Information Technology Master’s Degree (preferred): Data Science, Artificial Intelligence or Machine Learning, Computer Science, Business Analytics, Statistics or Applied Mathematics, Operations Research Professional Experience: * 8 years of hands\-on experience in data science, machine learning, or AI roles, including developing and deploying AI models and algorithms. * Experience with machine learning techniques, such as: * Supervised/Unsupervised Learning * Deep Learning (e.g., Neural Networks, CNNs, RNNs) * Natural Language Processing (NLP) * Computer Vision Geographic Experience: A plus Computer Skills: data science, machine learning, AI, including developing and deploying AI models and algorithms Language Skills: Business fluent English Arabic Language is an advantage.