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Amazon
The mission of the Abuse prevention program is to provide the highest bar of customer experience, protect the brand and reputation of Amazon and Selling Partner businesses while maintaining profitability. We consider customers who repeatedly violate Amazon policies as abusive.
As a program manager, you will have the opportunity to lead highly impactful programs and engage not only with cross-functional teams within Amazon, but also directly with Selling partners, to implement your program strategy and drive execution. You will collaborate with various business and engineering teams to drive program planning. You will make business cases for project prioritization and investment. You will also assess risks, anticipate bottlenecks, make tradeoffs, balance the business needs versus execution speed and inspire risk-taking behavior to maximize business benefit. If you enjoy solving problems in a dynamic environment and influencing business and technical leaders with your creative solutions, we want to talk to you!
Key job responsibilities
Drive product and program planning to reduce Returns abuse
Have the ability to work independently in a broad array of environments
Manage cross-functional project teams, planning and organizing, and executing complex projects across multiple organizations and stakeholders
Collaborate with product, design, business, and engineering on roadmap prioritization
Build cross-team mechanisms for communicating program priorities and receiving input from senior leaders
Articulate program goals, desired outcomes, risks/issues, and mitigation plan clearly
Support and enhance existing products with thoughtful and measurable impact- 3+ years of program or project management experience
- 3+ years of working cross functionally with tech and non-tech teams experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience defining program requirements and using data and metrics to determine improvements
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