Sr. ACES TPM (Continuous Improvement), Amazon Leo
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Amazon.com, Inc.
Bellevue, WA (In Person)
Full-Time
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Job Description
Description Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Leo ACES (Amazon Customer Excellence System) team drives step-change improvements to Leo's high-rate satellite production through three pillars: benchmarking and scaling best-of-breed practices, developing enabling technology stacks, and executing continuous improvement methodologies. As a senior member of this team, you will lead improvements across manufacturing, testing, supply chain, and fulfillment processes — tackling foundational, cross-functional challenges that require complex, large-scale solutions. You will partner with teams across hardware, software, manufacturing, quality, launch, and test to manage dependencies and secure stakeholder alignment. We are looking for an experienced change agent who can envision the big picture and build the mechanisms to make it happen. The ideal candidate brings excellent communication and influencing skills, strong technical and business acumen, and sound judgment in balancing needs with constraints. They are adaptable to evolving direction and are able to navigate conflicting priorities to find a path forward. They embody the leadership principles of Earn Trust, Ownership, Insist on the Highest Standards, and Invent and Simplify. This role is based in Bellevue, WA.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities The Sr.ACES TPM
drives high-impact performance improvements across manufacturing, test, and supply chain operations through data-driven analysis, Lean Six Sigma methodology, and digital automation. This role requires a strategic thinker with strong leadership and communication skills who can influence without authority, balance competing priorities, and foster a culture of continuous improvement.Key responsibilities include:
- Lead end-to-end DMAIC and Lean Six Sigma projects targeting measurable business outcomes, including throughput, cost, yield, and OEE.
- Apply advanced statistical methods — regression, ANOVA, DOE, and SPC — to identify root causes, design experiments, reduce variation, and validate solutions.
- Assess operational activities using analytical tools such as VSM, Kaizen, and statistical studies to identify waste, bottlenecks, and corrective actions.
- Develop and maintain standard work, control plans, and process capability metrics (Cpk, OEE, FPY).
- Quantify the business impact of improvement opportunities and present data-backed recommendations to leadership.
- Identify and drive the development of technology solutions — including digital tools, automation, and data infrastructure — that enable step-change improvements in manufacturing and test operations.
- Partner with hardware, software, manufacturing, quality, launch, and test teams to manage dependencies and secure stakeholder alignment.
- Mentor and develop junior engineers, embodying Amazon's Leadership Principles to drive operational excellence and transformative change.
- Experience working with interdisciplinary teams to execute product design from concept to production
- Bachelor's degree in Engineering, Computer Science, or equivalent
- 6+ years experience in manufacturing, test, or supply chain environment with demonstrated track record in Lean Six Sigma projects.
- Experience in high-mix, high-precision or electronics/aerospace assembly at high volumes.
- Strong problem-solver, analytical thinker, and effective communicator across both shop-floor presence and executive leadership. Able to influence cross-functional teams without direct authority. Preferred Qualifications
- Master's degree in Engineering, Computer Science, or a related field
- Experience with the project management of technical projects
- Skilled in Python, SQL, and Power BI/Tableau for data extraction and visualization. Familiar with Minitab, JMP, or equivalent for statistical analysis. Experience pulling data from MES/ERP/test systems.
- Familiarity with AI/ML techniques applied to manufacturing (predictive maintenance, anomaly detection, process mining).
- Familiarity with industry 4.0 technologies and their application in today's manufacturing environment
- Knowledge of enterprise resource planning (ERP) and manufacturing execution system (MES) software.
USA, WA, BELLEVUE
- 137,300.00
- 185,700.
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