Operations Program Manager
- Hyderabad, India
Do you get excited working on new challenges everyday? Do you like to problem solve, drive solutions and influence what features should be launched for customers? AWS Business Operations team is looking for a talented Program Manager who can troubleshoot, problem-solve, arrive at solutions for Billing and Financial escalations for Global AWS customers. We work with cross-functional teams across the company such as Accounts Receivable, Accounting, Operations, Customer Service, Development teams on a daily basis. On this team you are empowered to drive the solution that is right for the customer with the development team and influence the customer-facing features that are created in the larger commerce platform organization. You are expected to assist our team to understand our business metrics using your analytical and troubleshooting skills. You will implement process improvement initiatives to reduce operational burden within the team.
This position has several key responsibilities including working with internal stakeholders to investigate and prevent customer dissatisfaction. You are responsible for converting data into actionable business insights. You will be an analysis expert who leverages a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. You build deep contextual and domain knowledge. You ensure data quality and build scalable tools. You communicate findings with the most effective and influential methods. This position also includes troubleshooting and resolving customer and CS queries, working with internal stakeholders, and use of data warehouse tools. Other projects may include creating or updating existing SOPs and reporting on key metrics.
We are part of the larger AWS Commerce Platform organization that is focused on the most interesting and challenging problems lying at the intersection of cloud computing and e-commerce. These include enabling developers and software companies to easily distribute, and make money from, their cloud-based products; enabling consumers of cloud-based software to evaluate, buy, and 1-click deploy even the most complicated cloud architectures; modeling the new ways that software is sold and consumed in a cloud environment; and interpreting and processing the very high volume stream of events (e.g. trillions per day) that underlies enabling e-commerce for the cloud. We are bringing Amazon.com's 19 years of e-commerce leadership and IP to bear on the cloud computing space, including providing the e-commerce platform on which AWS runs, and delivering the AWS Marketplace that enables third-party developers and software companies to launch cloud-based products. And, along the way, we get to tackle problems on the leading edge of security and fraud detection, distributed computing and bill computation, and low-latency/real-time analysis -- all in an environment whose scale and high-throughput is orders of magnitude beyond most other systems.
• Bachelor's or Master's degree
• At least 3+ years of professional working experience in related occupations of Systems Analyst, Business Operations Engineer, Business Operations Program Manager, or related.
• At least 3+ years of SQL experience
• At least 3+ years of experience with data warehousing and reporting
• At least 3+ years of experience customer service experience
• At least 3+ years of Microsoft experience (Word, Excel, Powerpoint, Excel)
• Experience involving distributed system performance analysis and optimization.
• Experience in E-commerce payments processing
• An MS in Computer Science, Computer or Electrical Engineering, or a related field
• Customer Service background
• Great organizational skills and attention to detail; able to juggle and prioritize multiple tasks simultaneously
• Strong interpersonal skills and ability to effectively communicate technical information to internal and external customers or vendors
• Proactive and forward-thinking attitude and creative problem-solving ability
• A motivated self-starter who can work independently in a fast paced, ambiguous environment
Back to top