Riyadh, Saudi Arabia
A strategic executive with a Ph.D. in Data and Statistics and over 18 years of experience spanning national policy, real estate and urban development, geospatial intelligence, statistical innovation, and data-driven decision-making across Saudi government entities and international organizations, including the International Monetary Fund (IMF). A proven track record of leading national initiatives, establishing institutional capabilities, and translating complex data and analytics into actionable insights for government leadership and policy development. Key contributions include developing a national rental market monitoring framework to support rent control policy, leading the establishment of the National Urban Observatory, advancing data-driven and spatial decision-support capabilities at the Ministry of Municipalities and Housing, and driving statistical innovation and big data initiatives at the General Authority for Statistics (GASTAT). Currently serving as Executive Advisor to the President of the Real Estate General Authority (REGA), providing strategic advice on national real estate data, market intelligence, and regulatory policy. Contributing to the development of national real estate indicators, rental market regulatory frameworks, and AI-enabled analytics to support ministerial-level decision-making and strengthen the Authority role as a national reference for the real estate sector. Misk Leader 2030, with extensive experience in international collaboration and engagement with the United Nations, G20 initiatives, and other global institutions.
Strategic advisor to the CEO on national real estate data, AI-enabled analytics and regulatory policy, informing national real estate policy at ministerial level. Reporting directly to the CEO, I'm leading the following strategic priorities: * Setting the Authoritys direction on real estate data and indicators, positioning it as the independent national reference for the sector. * Designing the national rental regulation framework across cities, informing ministerial-level housing policy. * Introducing AI-enabled analytics into the Authority market intelligence, raising the speed and reliability of insight reaching leadership. * Steering the Authority's engagement with international advisory firms and government partners, safeguarding its analytical independence and building in-house capability.
As an Executive Director for the National Urban Observatory at the Ministry of Municipal and Housing, I spearheaded the observatory's establishment and activation, promoting data-driven urban planning and policymaking across 17 local observatories. I directly reported to His Excellency and led a team of different discipline in achieving the following: • Developed and implemented a Spatial Decision Support System, supporting decision in critical urban development areas. • Increased data usage for planning and policymaking through the urban indicators at the local and national level. • Launched the Hadary platform, streamlining data collection and analysis processes, leading to reduction in reporting times and improved data accuracy. • Published comprehensive reports and interactive dashboards featuring urban data and indicators on diverse issues, encouraging stakeholder engagement and promoting data-driven transparency..
I established and led the Decision Support and Data Office, transforming data into actionable insights for smarter housing decisions. My key achievements include: • Enhanced H.E.'s decision-making accuracy through advanced analytics applied to specialized housing studies. This led to more efficient allocation of resources and faster policy implementation. • Developed a comprehensive business intelligence framework leveraging data and analytics to identify emerging trends and optimize housing program performance. • Provided strategic foresight on future housing market scenarios, enabling proactive policy adjustments and mitigating potential risks. • Established robust data management policies and procedures, ensuring compliance with NDMO guidelines and safeguarding data integrity.