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

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

• 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.