Director - Customer AI & Analytics
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Key skills for this role
About the Role
Qiddiya seeks a Director of Customer AI & Analytics to lead customer data strategy, AI-driven engagement, and analytics across entertainment, hospitality, and retail. Requires 12+ years in data/AI, expertise in Customer 360, CDP, and AI/ML ecosystems, and experience in consumer-oriented industries.
Key Skills for This Role
Responsibilities
- Define and lead Qiddiya's enterprise Customer Data & AI strategy aligned with business growth and digital transformation
- Establish long term roadmap for customer data products, customer intelligence, AI enablement, and monetization
- Build unified customer data vision across ticketing, CRM, loyalty, mobile apps, and operational ecosystems
- Lead development of enterprise Customer 360 capabilities and customer master data architecture
- Define and oversee customer data products for visitor insights, personalization, CLV, and predictive modeling
- Lead AI initiatives for customer engagement, personalization, operational intelligence, and business optimization
- Build and lead a high performing Customer Data & AI function within the Data Office
Requirements
- 12+ years of experience in Data, Analytics, AI, Customer Intelligence, or Digital Transformation
- 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 consumer oriented industries including Entertainment, Hospitality, Theme Parks, and Retail
- Experience managing strategic vendors, implementation partners, and enterprise programs
Full Job Posting
Role Overview
- 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 futu
Key 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.
- 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, CLV, revenue analytics, loyalty intelligence, 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 including AI powered personalization, recommendation engines, conversational AI, sentiment analysis, dynamic targeting, predictive analytics, AI driven campaign optimization, and generative AI 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.
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.
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