Director – Customer AI & Analytics

Job Summary

Lead the strategy, governance, architecture, and delivery of customer data products, customer intelligence platforms, and AI-driven engagement capabilities across Qiddiya. Establish the customer data foundation to enable advanced personalization, audience intelligence, loyalty analytics, revenue optimization, and AI-powered customer engagement across parks, entertainment venues, digital channels, hospitality, retail, ticketing, mobility, and future city services.

Responsibilities

• Define and lead Qiddiya’s enterprise Customer Data & AI strategy aligned with business growth, visitor experience, and digital transformation objectives.
• Establish the long-term roadmap for customer data products, customer intelligence, AI enablement, and monetization opportunities.
• Lead the development and evolution of enterprise Customer 360 capabilities and customer master data architecture.
• Define and oversee customer data products including visitor insights, segmentation, personalization, recommendation engines, customer lifetime value analysis, revenue analytics, loyalty intelligence, and predictive behavior modeling.
• Lead AI initiatives focused on customer engagement, personalization, operational intelligence, and business optimization, including AI-powered personalization, recommendation engines, conversational AI, sentiment analysis, and generative AI use cases.
• Build and lead a high-performing Customer Data & AI function within the Data Office, mentoring multidisciplinary teams across analytics, AI, customer intelligence, and data product domains.
• Work closely with Digital, Marketing, Commercial, Customer Experience, IT, Operations, Strategy, and Executive Leadership teams to position customer data as a strategic enterprise asset.
• Establish AI governance principles aligned with enterprise standards and responsible AI practices.

Requirements

• 12+ years of experience in Data, Analytics, AI, Customer Intelligence, or Digital Transformation domains.
• Proven leadership experience in enterprise-scale customer data and AI initiatives.
• Strong experience in Customer 360, CDP, CRM analytics, personalization, and customer intelligence ecosystems.
• Experience leading large cross-functional programs involving business, technology, and data stakeholders.
• Strong understanding of modern cloud data platforms and AI/ML ecosystems.
• Experience in key consumer-oriented industries including Entertainment, Hospitality, Theme Parks, and Retail.
• Experience managing strategic vendors, implementation partners, and enterprise programs.

We refresh listings regularly, but some roles close early on the source platform.