Manager, Data Engineering, DARE, Amazon Prime Video Catalog Data, Analytics, Reserch And Excellence

Manager Of Data Engineering

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon's enormous selection, exceptional value, and fast delivery. We are seeking an experienced and innovative Manager of Data Engineering to join our dynamic team. In this role, you will collaborate with internal stakeholders across various departments, including Product, Technology, Science, UX, and Operations, at all levels of our organization. As a key member of our team, you will develop and support data engineering, automation, analytics, and research initiatives that provide our stakeholders and customers with crucial insights into our business, enabling informed decision-making.

The ideal candidate will thrive in our fast-paced, global environment, embracing the challenges and rewards of working in a rapidly growing organization. You should be an excellent communicator with extensive knowledge of data engineering, automation, analytics, and research initiatives. Your expertise will be instrumental in leading and mentoring a team of business analysts and business intelligence engineers, fostering their professional growth and development.

If you're comfortable navigating a fast-moving organization, passionate about data-driven insights, and excited about the opportunity to make a significant impact on our business and team members' careers, we encourage you to apply for this position. Join us in shaping the future of our organization through the power of business intelligence and analytics.

Key Job Responsibilities

• Lead and Develop Teams
  • Build and mentor a high-performing team of Data Engineers and Business Intelligence Engineers
  • Foster a culture of excellence, innovation, and continuous improvement
• Strategic Partnership and Stakeholder Management
  • Collaborate with leadership across divisions to understand data requirements and recommend appropriate ML/Business intelligence solutions
  • Work closely with Engineering and Science teams to define and structure data elements that enhance analytical capabilities
• Technical Leadership and Innovation
  • Design and implement user-friendly data platforms enabling business teams to access and analyze large datasets
  • Develop and maintain performance metrics, reports, dashboards, and analytics that drive key business decisions
  • Establish standardized data reporting protocols across all customer groups
  • Champion best practices in reporting and analysis, ensuring data integrity, robust testing, and thorough documentation
• Business Impact and Communication
  • Create and implement new metrics and studies to analyze customer behavior and improve performance
  • Deliver clear written and verbal presentations of insights and recommendations to diverse audiences with varying technical backgrounds
  • Demonstrate ability to work effectively within diverse, cross-functional teams