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رئيس قسم الذكاء الاصطناعي - Head of Artificial Intelligence Section

Ministry of Economy & Tourism
, UAE
Director
Artificial IntelligenceGenerative AIData ScienceMachine LearningAI GovernanceRisk Management
Free

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Job Purpose

  • Lead and develop the Ministry's AI strategy and assume enterprise wide responsibility for delivering measurable value through effective utilization of data assets and AI ecosystem, including Generative AI applications.
  • Ensure alignment of AI technologies with strategic objectives, drive AI adoption, and ensure compliance with ethical standards and governance requirements.

Key Responsibilities

  • Develop and lead the Ministry's AI strategy in alignment with organizational and national objectives.
  • Lead smart transformation initiatives including Generative AI applications and leverage enterprise data assets.
  • Ensure AI models are scalable and integrated with existing systems and processes.
  • Establish and manage the AI governance framework including policies, standards, and operating models.
  • Design and implement AI risk management framework including risk classification, mitigation, and monitoring.
  • Oversee evaluation and approval of AI use cases ensuring compliance with privacy and regulatory requirements.
  • Coordinate with unit and department leaders to enhance AI capabilities and build a data driven culture.
  • Collaborate with technical teams to ensure infrastructure supports AI solutions.
  • Monitor performance and impact of AI initiatives and report to leadership.
  • Design and implement AI education and capacity building programs for staff.
  • Communicate with regulatory bodies and external partners on AI governance and strategy.
  • Contribute to annual operational plans and ensure alignment with strategic priorities.

Qualifications and Experience

  • PhD in Statistics, Applied Mathematics, Economics, Computer Science, Engineering or equivalent (no experience required).
  • Master's in AI, Data Science, Computer Science, Engineering or equivalent (3 years experience).
  • Bachelor's in Computer Science, Computer Engineering, Software Engineering, Information Systems or equivalent (7 years experience).

Professional Certifications

  • Professional certification in AI and Machine Learning (e.g., Google Professional ML Engineer, AWS ML Specialty, Azure AI Engineer Associate).
  • Certification in Generative AI and LLMs (e.g., DeepLearning.AI Generative AI Specialization).
  • Certification in AI Governance and Ethics (e.g., IAPP AI Governance Professional, ISO 42001 Lead Implementer).
  • Certification in Data Science and Advanced Data Analytics (e.g., IBM Data Science Professional, Databricks ML Associate).
  • Certification in MLOps (e.g., MLflow MLOps Certified, Kubeflow Practitioner).
  • Certification in Project Management or Digital Transformation (e.g., PMP, PRINCE2, SAFe).
  • Certification in Data Management (CDMP).
  • Course in AI Strategy and Applications in Government.
  • Course in AI Ethics and Responsible Use.
  • Course in Change Leadership and Digital Transformation.
  • Course in Prompt Engineering and LLM Applications.

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