CRM Manager – Automations Marketing & Performance – UAE

  • Full Time
  • UAE

Alshaya Group (Starbucks)

​CRM Strategy: Lead the end-to-end CRM strategy for Starbucks across automations and tactical campaigns, reporting to the Head of CRM.

​Rewards Integration: Drive integration with Starbucks Rewards to enhance customer engagement, retention, reactivation, and lifetime value.

​Budget Management: Oversee and manage the Starbucks CRM marketing budget to deliver brand awareness, engagement, and ROI targets.

​Campaign Execution: Map customer journeys and create automated lifecycle campaigns across channels, including Email, Push, and WhatsApp.

​Platform Operations: Support the development and management of Bloomreach as the primary Campaign Management Tool and Customer Data Platform (CDP).

​Analytics & Reporting: Monitor key performance indicators (open rate, CTR, conversion, AOV, LTV, ROI) and deliver comprehensive performance dashboards and reports.

​Team Leadership: Build, inspire, and manage a high-performing and motivated CRM team.

​Qualifications & Requirements

​Experience:

​Minimum 5 years in eCommerce CRM marketing focusing on retention, digital CRM, or loyalty programs managing databases of 1M+ members/leads.

​Minimum 3 years managing eCommerce CRM teams with retention budget responsibilities.

​Technical Skills & Tools:

​Proficiency in coding languages including HTML, CSS, Java, and JavaScript.

​Hands-on experience with specialist CRM/CDP platforms (e.g., Exponea).

​Expertise with enterprise web analytical tools (e.g., Google Analytics, Adjust, Firebase, Magento).

​Data Privacy: Thorough understanding of data privacy regulations (e.g., DSR, GDPR).

​Competencies: Strong commercial acumen, analytical mindset, excellent written and spoken communication skills, and strong presentation abilities.

​Preferred Skills:

​Industry experience in fashion, home furnishing, or beauty.

​Experience within the MENA region and fluency in Arabic (written and spoken).

​Technical proficiency in statistical languages (R, Python, SQL) and machine learning techniques (regression, clustering, neural networks).

To apply for this job please visit www.alshaya.com.

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