Lead the planning, delivery, and scaling of enterprise AI initiatives across multiple business units and regional operations.
Collaborate with executive leadership and business stakeholders to identify, assess, and prioritize strategic AI opportunities that drive operational efficiency, innovation, and business value.
Translate complex business requirements into scalable AI solutions, overseeing the full project lifecycle from ideation and proof of concept (PoC) to deployment and adoption.
Drive AI transformation initiatives by promoting best practices, innovation programs, and cross-functional collaboration across the organization.
Oversee the design, implementation, and integration of AI-powered solutions using Microsoft AI technologies and other enterprise platforms.
Ensure seamless integration of AI capabilities with existing business systems, applications, and digital workflows.
Manage relationships with external vendors, implementation partners, and technology providers, ensuring quality delivery and alignment with corporate standards.
Establish and enforce AI governance frameworks, security controls, data privacy requirements, and compliance standards across all AI initiatives.
Monitor AI platform performance, solution adoption, operational costs, and business outcomes, providing regular reports and recommendations to senior management.
Collaborate with IT, cybersecurity, legal, compliance, data, and business teams to ensure successful implementation and sustainable AI operations.
Identify project risks, develop mitigation strategies, and ensure the successful delivery of AI programs within scope, budget, and timelines.
Drive continuous improvement and innovation by evaluating emerging AI technologies and recommending opportunities for business advancement.
Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related field. A master’s degree is an advantage.
Minimum 5–8 years of experience in AI, Software Engineering, Digital Transformation, Technology Consulting, or related fields, with demonstrated leadership experience.
Strong experience in designing, implementing, and managing enterprise AI solutions within large-scale or multinational organizations.
Hands-on experience with Microsoft AI technologies, including Copilot Studio, Azure AI Foundry, Azure OpenAI, Azure AI Search, and Power Platform.
Solid understanding of Generative AI, Retrieval-Augmented Generation (RAG), AI agents, automation frameworks, and enterprise AI architectures.
Proficiency in Python and at least one additional programming language such as C#, JavaScript, or TypeScript.
Proven experience managing complex projects, external vendors, and cross-functional teams in a matrix organizational environment.
Strong knowledge of AI governance, cybersecurity, data privacy regulations, risk management, and enterprise compliance standards.
Excellent communication, stakeholder management, presentation, and leadership skills, with the ability to engage effectively with both technical and non-technical audiences.
Strong analytical thinking, problem-solving, and decision-making capabilities.
Experience working within multinational corporations, financial services, insurance, or other highly regulated industries is highly preferred.
Fluency in English is required; proficiency in Arabic or additional languages is considered an advantage.
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