The Group Marketing Manager (AI & Digital Performance) will architect, lead, and execute comprehensive data-driven marketing strategies across the group’s diverse B2C entertainment assets and B2B commercial landscaping divisions. This role demands a modern marketing technologist who combines strategic vision with advanced, hands-on mastery of Artificial Intelligence tools. The successful candidate will lead the automated scale-up of high-performing campaigns, optimize Google Ads budgets programmatically, and deploy predictive AI models to accelerate customer acquisition, boost footfall, and maximize cross-entity conversion performance.

Key Responsibilities

1. Strategic Leadership & Portfolio Alignment

• Develop and implement an integrated marketing blueprint that effectively positions and scales both B2C leisure destinations (Dubai Miracle Garden, Dubai Butterfly Garden, Cityland Mall) and B2B commercial entities (AKAR & Miracle Garden Landscaping Services).
• Lead, mentor, and build the capacity of the internal marketing and creative teams, fostering an agile culture focused on digital innovation, ROI, and brand equity.
• Manage corporate marketing budgets across all entities, ensuring data-supported resource allocation to maximize profitability during peak seasons.

2. Next-Gen AI Integration & Performance Automation

• Deploy and manage advanced AI-driven marketing technology stacks to automate routine workflows, optimize audience segmentation, and deliver hyper-personalized ad experiences.
• Utilize generative AI and prompt engineering infrastructure to scale multilingual content generation, automated creative iteration, and rapid copy testing for international tourist segments and local B2B stakeholders.
• Implement AI agents and automated workflows for real-time brand monitoring, social listening, and competitive intelligence gathering across the lifestyle, retail, and agriculture sectors.

3. Advanced Google Ads & Programmatic Media Buying

• Own the end-to-end architecture, targeting, and management of the group’s search, display, video, and Performance Max (PMax) campaigns on Google Ads.
• Build and maintain sophisticated automation scripts, rule-based bidding algorithms, and AI-led conversion predictive models within Google Ads to consistently drive down cost-per-acquisition (CPA) and lift return on ad spend (ROAS).
• Conduct strict, continuous multivariant A/B testing on ad copies, extensions, landing pages, and smart bidding strategies using automated optimization engines.

4. Deep Analytics, Forecasting & Data Infrastructure

• Oversee the group’s unified tracking infrastructure (Google Analytics 4, Tag Manager, CRM data integrations) to ensure attribution accuracy across digital touchpoints and brick-and-mortar footfall.
• Leverage machine learning tools and predictive data analytics to forecast seasonal attendance trends, mall footfall patterns, and B2B contract lead velocities.
• Deliver transparent, high-level marketing attribution dashboards and predictive performance metrics directly to executive management.

Key Performance Indicators (KPIs)

• Omnichannel ROAS Lift: Measurable year-on-year improvement in programmatic and Google Ads return on ad spend.
• CPA Reduction: Systematic reduction in visitor/lead acquisition costs through real-time AI bidding optimization.
• Footfall & Lead Capture Target: Achievement of cross-entity footfall targets for tourist destinations and qualified commercial RFIs for landscaping divisions.
• Team AI Adoption Rate: Successful rollout and operational integration of AI tools across the daily workflows of the marketing department.

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