Supply Chain Manager, Amazon Robotics - Order Management
North Reading, Massachusetts, USA
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Full Time Mid-level / Intermediate USD 57K - 106K
Amazon.com
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On the Amazon Robotics (AR) team, we build dynamic partnerships between people and intelligent machines. This intricate collaboration helps Amazon fulfill orders with unmatched accuracy. Working in symphony with our robotic technology, employees have the opportunity to extend their technical capabilities by working alongside some of the industry's most advanced technologies. This includes our fleet of autonomous mobile robots (the world’s largest), sophisticated control software, and technologies like language perception, machine learning, object recognition, and semantic understanding of environments. These technologies help employees deliver an ever-improving customer and employee experience, as well as improve the safety of our facilities. We focus on solving near term opportunities while charting a roadmap for how we will navigate the product development needs to maximize business value over the next 3 – 5 years.
The Deployment Order Manager is a pivotal role within Amazon Robotics, focusing on execution performance for our customers. This position encompasses a wide range of responsibilities, including end-to-end deployment order management, handling Problem Service Reports, providing post-deployment support, managing internal material requisitions, and troubleshooting delivery and supply gaps. The role requires a proactive and motivated self-starter who is passionate about operational processes, capable of analyzing trends, and recommending as well as implementing process improvements. The ideal candidate will possess a strong enthusiasm for technology and a drive to elevate operational standards. They should also demonstrate excellent writing and communication skills, sound judgment, and a keen attention to detail, all while actively supporting and fostering a culture of inclusion within the team. In this role, the Deployment Order Manager will be responsible for managing multiple Deployment Engineering projects simultaneously. The manager will collaborate closely with procurement and logistics teams to ensure site health readiness and will communicate this readiness to customers. Additionally, the role involves resolving and troubleshooting customer ticket issues, addressing system deficiencies, and driving operational excellence by contributing to key performance indicators (KPIs) and service level agreements (SLAs). The Deployment Order Manager will also play a crucial role in contributing to process improvements, cost optimization, and sustainability initiatives in partnership with Robotics Supply Chain leadership.
Key job responsibilities
- Manage Deployment Engineering orders for multiple projects at a time.
- Collaborate and communicate with internal/external stakeholders on site health readiness and maintain high bar of delivery excellence.
- Execute Equipment Install Plan (EIP) vs Sales Order (SO) mismatches; resolve and troubleshoot customer ticket issues.
- Present confidently to Amazon executives as well as other large audiences.
- Drive operational excellence by contributing to KPIs and SLAs.
- Drive OM process improvements, cost optimization and scalability initiatives in collaboration with Robotics Supply Chain leadership.
- Actively support and foster a culture of inclusion.
- 2+ years of program or project management experience
- 2+ years of supply chain experience
- 2+ years of working cross functionally with tech and non-tech teams
- Bachelor's degree
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience defining program requirements and using data and metrics to determine improvements
- 1+ years of driving end to end delivery, and communicating results to stakeholders/ leadership
- Experience driving process improvements
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Order Management functional experience in Manufacturing organization
- 1+ years of driving process improvements experience
- Experience building processes, project management, and schedules
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $57,800/year in our lowest geographic market up to $106,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
The Deployment Order Manager is a pivotal role within Amazon Robotics, focusing on execution performance for our customers. This position encompasses a wide range of responsibilities, including end-to-end deployment order management, handling Problem Service Reports, providing post-deployment support, managing internal material requisitions, and troubleshooting delivery and supply gaps. The role requires a proactive and motivated self-starter who is passionate about operational processes, capable of analyzing trends, and recommending as well as implementing process improvements. The ideal candidate will possess a strong enthusiasm for technology and a drive to elevate operational standards. They should also demonstrate excellent writing and communication skills, sound judgment, and a keen attention to detail, all while actively supporting and fostering a culture of inclusion within the team. In this role, the Deployment Order Manager will be responsible for managing multiple Deployment Engineering projects simultaneously. The manager will collaborate closely with procurement and logistics teams to ensure site health readiness and will communicate this readiness to customers. Additionally, the role involves resolving and troubleshooting customer ticket issues, addressing system deficiencies, and driving operational excellence by contributing to key performance indicators (KPIs) and service level agreements (SLAs). The Deployment Order Manager will also play a crucial role in contributing to process improvements, cost optimization, and sustainability initiatives in partnership with Robotics Supply Chain leadership.
Key job responsibilities
- Manage Deployment Engineering orders for multiple projects at a time.
- Collaborate and communicate with internal/external stakeholders on site health readiness and maintain high bar of delivery excellence.
- Execute Equipment Install Plan (EIP) vs Sales Order (SO) mismatches; resolve and troubleshoot customer ticket issues.
- Present confidently to Amazon executives as well as other large audiences.
- Drive operational excellence by contributing to KPIs and SLAs.
- Drive OM process improvements, cost optimization and scalability initiatives in collaboration with Robotics Supply Chain leadership.
- Actively support and foster a culture of inclusion.
Basic Qualifications
- 2+ years of program or project management experience
- 2+ years of supply chain experience
- 2+ years of working cross functionally with tech and non-tech teams
- Bachelor's degree
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience defining program requirements and using data and metrics to determine improvements
- 1+ years of driving end to end delivery, and communicating results to stakeholders/ leadership
- Experience driving process improvements
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Order Management functional experience in Manufacturing organization
Preferred Qualifications
- 1+ years of driving end to end delivery, and communicating results to senior leadership experience- 1+ years of driving process improvements experience
- Experience building processes, project management, and schedules
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $57,800/year in our lowest geographic market up to $106,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Categories:
Deep Learning Jobs
Leadership Jobs
Tags: Engineering Excel KPIs Machine Learning Robotics SQL
Perks/benefits: Career development Equity / stock options Health care
Region:
North America
Country:
United States
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