Digital Operations Manager (E-Commerce/Retail)

I. RESPONSIBILITY AND AUTHORITY

Programmatic Advertising Automation:

• Develop and implement strategies to automate advertising campaigns across digital platforms.
• Optimize programmatic advertising campaigns using data-driven insights to improve ROAS and efficiency.
• Work closely with data teams to leverage AI/ML models for real-time bid adjustments and audience targeting.
• Monitor ad performance and troubleshoot issues related to automation and optimization.

Merchandising Operations Management

• Oversee the creation, editing, and management of product listings across e-commerce platforms (Amazon, Shopify, etc.).
• Automate merchandising workflows to enhance efficiency and accuracy.
• Ensure product listings are optimized for SEO, conversion rates, and platform-specific best practices.
• Manage digital assets, pricing updates, and inventory synchronization.

Promotion Operations Digitalization:

• Develop and implement automation strategies for managing digital promotions and discounts.
• Optimize promotional campaigns based on real-time data and performance insights.
• Ensure seamless execution of promotions across multiple platforms while maintaining brand consistency.
• Work closely with marketing, sales, and analytics teams to enhance promotional effectiveness.

II. REQUIREMENTS

• Knowledge

• Bachelor's degree in Marketing, Business, or a related field

• Skills

• Excellent project management and problem-solving skills.
• Ability to work cross-functionally and drive digital transformation initiatives.
• Excellent English writing skills and documentation

• Experience

• 5+ years of experience in digital marketing, programmatic advertising, e-commerce operations, or promotion management.
• Strong knowledge of advertising platforms (Google Ads, Amazon DSP, Meta Ads, etc.) and programmatic bidding.
• Experience with automation tools for digital marketing, merchandising, and promotions (e.g., API integrations, feed management, AI-driven optimization tools).
• Proficiency in data analysis tools (Google Analytics, Tableau, Power BI) and an understanding of SQL or Python is a plus