Role summary
Lead the strategy, governance, architecture, and delivery of customer data products, customer intelligence platforms, and AI-driven engagement capabilities across Qiddiya. Establish Qiddiya's customer data foundation and 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 and 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
- Build a unified customer data vision across ticketing, CRM, loyalty, mobile applications, digital platforms, attractions, hospitality, retail, mobility, and operational ecosystems
- Drive enterprise adoption of customer-centric decision-making and data-driven engagement models
- Lead the development and evolution of enterprise Customer 360 capabilities and customer master data architecture
- Define and oversee customer data products enabling visitor insights, segmentation, personalization, recommendation engines, customer lifetime value analysis, revenue and conversion analytics, loyalty and engagement intelligence, cross-channel customer journey analytics, real-time audience intelligence, and predictive behavior modeling
- Partner with Data Engineering and Platform teams to ensure scalable and secure customer data pipelines and architectures
- Enable self-service analytics and business consumption of customer intelligence products
- Lead AI initiatives focused on customer engagement, personalization, operational intelligence, and business optimization
- Identify and drive high-value AI use cases: AI-powered personalization, recommendation engines, conversational AI, intelligent assistants, customer sentiment analysis, dynamic audience targeting, predictive analytics, AI-driven campaign optimization, and generative AI use cases for customer engagement
- Collaborate with BI, Data Science, MLOps, and Emerging Technology teams to operationalize AI solutions
- Establish AI governance principles aligned with enterprise standards and responsible AI practices
- Build and lead a high-performing customer data and AI function within the Data Office
- Mentor multidisciplinary teams across analytics, AI, customer intelligence, and data product domains
- Foster a culture of innovation, experimentation, agility, and business value realization
- Support enterprise data literacy and AI adoption initiatives
Qualifications
- 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
Experience
12+ years in data, analytics, AI, customer intelligence, or digital transformation
Education · Experience · Type
Requires 12+ yearsSalary not stated