Data Analysis Director

Riyadh Holding Company is a leading Saudi company with over four decades of experience in designing, developing, and operating integrated, sustainable urban ecosystems. The company delivers innovative real estate solutions for public-benefit projects across the Riyadh region, creating long-term value for communities and stakeholders. Driven by a commitment to enhancing quality of life and enabling thriving cities, Riyadh Holding focuses on service-oriented developments, the activation of public spaces and parks, and the advancement of logistics and mobility solutions, contributing to sustainable urban growth and the objectives of Saudi Vision 2030. We are currently seeking an experienced Data Analysis Director to joining King Abdullah Gardens Lead and runs enterprise data-analytics capability from the ground up — architecting the data lake, ETL, BI and model-deployment stack as the single trusted source of truth for the organization. Builds the C-Suite and Board dashboards covering programme KPIs, financial performance, risk indicators (KRIs) and counterparty performance; embeds AI, machine-learning and automation across the programme; and owns data governance and data-security governance to NDMO / NCA requirements. Gives the CEO, Board and GRC oversight a single, reliable evidence base across all four strategic pillars — Destination Experience, Botanical Excellence, Financial Viability, and Efficient Delivery & Operations. 1. Key Responsibilities • Establish and scale the enterprise analytics function, including platform architecture, technology stack, operating model, governance framework, talent strategy, and vendor ecosystem, aligned with Board priorities and organizational objectives. • Architect and govern the enterprise data lake, ETL ecosystem, BI platforms, and model-deployment environment as a unified and trusted data foundation, integrating information from all delivery and operating counterparties. • Deliver executive-grade analytics and reporting that provide the CEO, C-Suite, and Board with timely, accurate, and actionable visibility into programme performance, financial health, strategic objectives, risk exposure, and counterparty outcomes. • Define and institutionalize enterprise KPI and KRI frameworks, ensuring consistent reporting standards and decision-making transparency across the organization. • Design, implement, and continuously enhance the enterprise risk analytics capability, including risk registers, key risk indicators, predictive risk models, and scenario analysis, in partnership with risk leadership. • Enable near real-time monitoring of contractual KPIs and SLAs across all counterparties to strengthen compliance, accountability, performance management, and early risk detection. • Build advanced analytics capabilities across ticketing, visitation, CAFM (Maximo), and operational platforms to optimize revenue performance, customer experience, asset reliability, service delivery, and predictive maintenance outcomes. • Accelerate organizational efficiency and innovation through the deployment of AI, machine learning, and intelligent automation solutions that reduce manual effort and improve business performance. • Champion enterprise-wide data governance, ensuring clear ownership, quality standards, classification frameworks, lifecycle management, and regulatory compliance in alignment with NDMO, NCA, and PDPL requirements. 2. Qualifications & Experience: • Education: Bachelor’s in information systems, Computer Science, Engineering, Applied Mathematics or a related field; Master's preferred. • Experience: +8 years in enterprise analytics, business intelligence, data engineering or advanced analytics, ideally in regulated or large capital-programme organizations. • Technical: Deep command of Python and Power BI hands-on data-lake (Azure / AWS), ETL and SQL / data-warehousing experience; working knowledge of AI/ML frameworks. • Languages: Fluent English; Arabic an advantage. Show more Show less

Bachelor’s degree in information systems, Computer Science, Engineering, Applied Mathematics or a related field; Master’s degree preferred. +8 years in enterprise analytics, business intelligence, data engineering or advanced analytics, ideally in regulated or large capital-programme organizations. Technical: strong command of Python and Power BI; hands-on experience with data-lake platforms (Azure / AWS), ETL and SQL / data-warehousing; working knowledge of AI/ML frameworks. Languages: Fluent English; Arabic an advantage.

Establish and scale the enterprise analytics function, including platform architecture, technology stack, operating model, governance framework, talent strategy, and vendor ecosystem. Architect and govern the enterprise data lake, ETL ecosystem, BI platforms, and model-deployment environment as a unified data foundation. Deliver executive-grade analytics and reporting for CEO, C-Suite, and Board regarding programme performance, financial health, risk exposure, and counterparty outcomes. Define and institutionalize enterprise KPI and KRI frameworks. Design, implement, and enhance enterprise risk analytics including risk registers, KRIs, predictive models, and scenario analysis. Enable near real-time monitoring of contractual KPIs and SLAs across all counterparties. Build advanced analytics across ticketing, visitation, CAFM (Maximo), and operations platforms. Accelerate efficiency and innovation via AI, ML, and intelligent automation. Champion data governance, ensuring ownership, quality, classification, lifecycle management, and regulatory compliance (NDMO/NCA/PDPL).