We are looking for a Senior Technical Program Manager (Sr. TPM) who is capable of breaking down and solving complex problems, and has a strong will to get things done! Sr. TPMs at Amazon work on real world problems at a global scale. They own their systems end to end and influence the direction of our technology which impacts hundreds of millions of customers around the world. Because you take pride in setting the standard for engineering excellence, you are a hands-on, pragmatic problem solver that easily balances trade-offs between competing interests. You thrive in a fast-moving team environment where you are able to juggle complex dependencies and requirements while producing optimal solutions. Ambiguity and creativity are both expected and the norm.
In this role you will be responsible for conceiving, prioritizing, and executing data infrastructure and data engineering projects supporting Demand Forecasting, Planning and Optimization functions. As a key leader for Demand Planning Data Engineering, you will work directly with multiple teams across product, engineering and science functions and partner with stakeholders in Finance and Sales and Marketing to develop roadmaps and execute to support the needs of the organization.
Key job responsibilities
- Actively participate in data infrastructure development and idea generation.
- Build and iterate on the ideas and support the goals, using the best and most appropriate tools and techniques for the task.
- Establish foundational support for the program from inception, including establishing and owning internal mechanisms such as business reviews, bi-weekly updates, internal pages, etc.
- Use data to drive and measure process improvements that enhance our operational effectiveness.
- Serve as a bridge between business need and technical implementation.
- Effectively present work to all levels of the leadership.
- Be an effective collaborator in a cross functional organization of PMs, , SDEs, Scientists, and Economists.
About the team
Data Engineering team within DSO (Demand Science Optimization) team supports Data Infrastructure, Data Architecture and Data Management functions. This includes sourcing, ingesting, and processing of large datasets; building and optimizing logical and physical data models; curation of Input data for forecasting models, publishing data, and enhancing data management solutions supporting Demand Forecasting and Optimization models and reporting tools.
