Khazna Data Centers, a leading provider of hyperscale digital infrastructure, has appointed Mohammed Bin Hassan as its Country Head for Saudi Arabia. The announcement follows Khazna’s acquisition of 225,000 sqm of land in Dammam, where the company plans to develop up to 200 MW of AI-ready data center capacity.
In his new role, Bin Hassan will accelerate Khazna’s expansion in the Kingdom, strengthen relationships with local partners, and support Saudi Arabia’s broader digital transformation under Vision 2030. With more than two decades of experience advancing national technology initiatives, he previously served as Chief Digital Officer at a PIF company and helped lead the SAR 6 billion 4th Industrial Revolution strategy at Vision 2030.
Bin Hassan will oversee the development and launch of Khazna’s Dammam site, while guiding future projects aimed at advancing the Kingdom’s sovereign digital infrastructure. These efforts align with Saudi Arabia’s national goals to scale digital and AI capabilities.
Hassan Alnaqbi, CEO of Khazna Data Centers, highlighted Saudi Arabia’s rapid progress, noting its global leadership in digital government, open data, and its National Strategy for Data & AI. “With Mohammed now leading our operations, we have the right expertise to help the country achieve its national AI goals,” he said.
Bin Hassan added that Khazna’s experience in hyperscale, AI-ready infrastructure positions the company as a long-term partner in supporting Saudi Arabia’s digital economy. “Our entry into the Kingdom reflects a commitment to enabling innovation, resilience, and national progress,” he said.
Khazna currently operates 30 data centers with nearly 650 MW of energy-efficient capacity, and is developing over 1 GW more across the UAE, Saudi Arabia, Italy, and other markets. Its new Dammam facility will support high-performance cloud and AI workloads, built with modular, scalable architecture and designed to LEED Gold sustainability standards.
The center’s flexible design will allow for rapid configuration to support GPU clusters and other evolving AI workloads, while integrating advanced efficiency features to reduce energy use and carbon emissions.