Senior Manager - Planning (SDU4) - 20005179

Qiddiya is Saudi Arabia’s flagship destination for entertainment, sports, and culture — a cornerstone of Vision 2030 located just outside Riyadh. Spanning over 360 km², it will feature world-class attractions including a Formula 1-grade racetrack, theme parks, major sports venues, and performance spaces. More than a destination, Qiddiya is a catalyst for economic diversification, job creation, and a new way of life. With construction progressing rapidly, we’re looking for driven professionals ready to help shape one of the world’s most ambitious developments. Every role here has real impact — from planning and design to delivery and operations. If you're motivated by large-scale challenges and lasting legacy, there’s a place for you at Qiddiya.

Technical Responsibilities

• Collect, clean, and analyze planning data across Business Units and Delivery Partners.
• Apply AI-driven analytics to identify risks, forecast trends, and recommend proactive measures.
• Support the development of predictive models for schedule performance and milestone tracking.
• Enhance reporting outputs by introducing advanced visualizations and analytics dashboards.
• Benchmark planning data analytics against international best practices in real estate and infrastructure delivery.
• Collaborate with the Director of Digital Delivery to leverage digital platforms for integrated planning-data insights.
• Ensure data quality and consistency across BU submissions.
• Provide technical input into EOT claim analysis and forecasting.
• Train BU planning teams in using advanced planning analytics tools.
• Document lessons learned and recommend continuous improvement in reporting processes.

Requirements

• Degree: Bachelor’s or Master’s in Data Science, Engineering, or Project Analytics.
• Experience: 8–12 years in planning analytics, project controls, or data-driven decision-making in mega/giga projects.
• Licenses / Certifications: PMP, PMI-SP, or advanced data analytics certifications desirable.
• Skills: Strong background in AI/data science; proficiency in Power BI, Tableau, Primavera Analytics; ability to integrate predictive analytics into planning.