مدير - تحليلات وذكاء العملاءDirector - Customer AI & Analytics

The Director - Customer AI & Analytics will lead the strategy, governance, architecture, and delivery of customer data products, customer intelligence platforms, and AI-driven engagement capabilities across Qiddiya.  This role will 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.  The role requires a highly strategic leader with deep expertise in customer data ecosystems, AI enablement, enterprise data platforms, and digital transformation, combined with strong stakeholder management and execution capabilities.  The successful candidate will work closely with Digital, Marketing, Commercial, Customer Experience, IT, Operations, Strategy, and Executive Leadership teams to position customer data as a strategic enterprise asset.  Key Responsibilities  Customer Data Strategy & Transformation  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.   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.   Customer 360 & Data Products  Lead the development and evolution of enterprise Customer 360 capabilities and customer master data architecture.   Define and oversee customer data products enabling:   Visitor insights and segmentation   Personalization and recommendation engines   Customer lifetime value analysis   Revenue and conversion analytics   Loyalty and engagement intelligence   Cross-channel customer journey analytics   Real-time audience intelligence   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.   AI & Advanced Analytics  Lead AI initiatives focused on customer engagement, personalization, operational intelligence, and business optimization.   Identify and drive high-value AI use cases including:   AI-powered personalization   Recommendation engines   Conversational AI and intelligent assistants   Customer sentiment analysis   Dynamic audience targeting   Predictive analytics   AI-driven campaign optimization   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.   Leadership & Organizational Development  Build and lead a high-performing Customer Data & 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.   Required Experience  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.