Description

Amazon.com, Inc. (NASDAQ:AMZN), a Fortune 500 company based in Seattle, opened on the World Wide Web in July 1995 and today offers Earth's Biggest Selection. Amazon.com, Inc. seeks to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices. Today, we operate retail websites in nine countries, offering millions of products in more than 40 categories worldwide, and we still like to work hard, have fun and make history!

Amazon's Retail Business Services (RBS) team is looking for a Sr. Program Manager to drive customer Return reduction program (aka) Concession program. Objective of the Program is to eliminate negative experience of the customer by understanding root cause for returns and eliminate it.

Return Analytics and Automation manager role is to increase the coverage of root cause to drive fix coverage to 80% of WW entitlement. The candidate in this role expected to convert the human intelligence to artificial intelligence or rules to constantly evolve the tech & Science based solutions which would benefit Opex optimization and return expertise deskilling. The Analytics and Automation Manager oversees the effective use of data analytics and automation technologies to improve business performance. They work closely with data scientists, developers and operations teams to understand process issues and implement automated solutions using tools like machine learning and robotic process automation. Key responsibilities include managing projects to develop analytical models and automated workflows, documenting requirements, tracking metrics to measure impact, and training teams on new systems. The goal is to surface valuable insights, streamline operations, minimize human error and boost productivity through data-driven and automated strategies.

Key job responsibilities

• Develop and implement strategies to increase the automation coverage of use cases in StoreOps org.

• Convert human intelligence into artificial intelligence or rules-based solutions to constantly evolve technology and science-based solutions that optimize Operational Expense.

• Oversee the effective use of data analytics and automation technologies to improve business performance.

• Collaborate closely with business analysts, automation experts and operations teams to identify process issues and implement automated solutions.

• Manage projects to develop analytical models and automated workflows, documenting requirements and tracking metrics to measure the impact of implemented solutions.

• Train teams on new systems and technologies to ensure effective utilization and adoption of data-driven and automated strategies.

• Continuously identify opportunities to surface valuable insights, streamline operations, minimize human error, and boost productivity through data-driven and automated approaches

A day in the life

The Analytics and Automation Manager oversees the effective use of data analytics and automation technologies to improve business performance and build hands off the wheel automations. They work closely with business analysts, automation experts and operations teams to understand process issues and implement automated solutions using in house LLM platform and tools like machine learning and robotic process automation. Key responsibilities include managing projects to develop analytical models and automated workflows, documenting requirements, tracking metrics to measure impact, and training teams on new systems. The goal is to surface valuable insights, streamline operations, minimize human error and boost productivity through data-driven and automation solutions.

About the team

The RBS ARTS Program is dedicated to provide data and automation support for the Retail Efficiency and Paid Services business and tech teams. There is ample growth opportunity in this role for someone who exhibits Ownership and Insist on the Highest Standards, and has engineering and operational best practices experience. The program emphasizes a technology-driven mindset to deliver scalable solutions that optimize operations and drive continuous improvements

Basic Qualifications

7+ years of experience in data analytics, automation, or a related technical role, with a proven track record of driving impactful projects.

Proficient in data analysis and visualization tools, with an understanding of machine learning, AI, and RPA.

Ability to translate business requirements into technical solutions and lead cross-functional teams to implement analytical models and automated workflows.

Excellent project management and stakeholder management skills, with the ability to communicate complex concepts effectively.

Demonstrated experience in driving continuous process improvements, optimizing operations, and achieving measurable business impact through data-driven strategies.

Adaptable, innovative, and able to lead and develop high-performing teams.

Preferred Qualifications

Master's degree, or MBA in supply chain, business, engineering, finance or related technical or quantitative field

Experience across automation(Python, RPA, Python, VBA, Macros, Selenium scripts)and data analytics (SQL/Tableau/Quick-sight)