A

Amazon

Sells products online and rents cloud computing

Senior ACES Technical Program Manager - Continuous Improvement

Program ManagementConfirmed live in the last 24 hours
Full-timeBellevue, WA, USAIn-person

About the Job

Requirements

  • Experience working with interdisciplinary teams to execute product design from concept to production.
  • A bachelor's degree in engineering, computer science, or equivalent.
  • Experience with Six Sigma, lean manufacturing, or similar environments.
  • Experience in high-mix, high-precision, or high-volume electronics or aerospace assembly.
  • Ability to solve problems, analyze issues, and communicate across shop-floor and executive leadership settings, influencing cross-functional teams without direct authority.

Responsibilities

  • Lead end-to-end DMAIC and Lean Six Sigma projects targeting measurable business outcomes, including throughput, cost, yield, and overall equipment effectiveness.
  • Apply advanced statistical methods, including regression, analysis of variance, design of experiments, and statistical process control, to identify root causes, design experiments, reduce variation, and validate solutions.
  • Assess operational activities using value stream mapping, Kaizen, and statistical studies to identify waste, bottlenecks, and corrective actions.
  • Develop and maintain standard work, control plans, and process capability metrics, including Cpk, overall equipment effectiveness, and first-pass yield.
  • Quantify the business impact of improvement opportunities and present data-backed recommendations to leadership.
  • Identify and drive development of technology solutions, including digital tools, automation, and data infrastructure, to 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, applying Amazon's Leadership Principles to drive operational excellence and transformative change.
  • Advocate on behalf of internal and external customers, push back constructively, and act as an internal consultant across multiple value streams to help teams adopt data-driven decision-making.

Desired Qualifications

  • A master's degree in engineering, computer science, or a related field.
  • Experience managing technical projects.
  • Experience with data analysis tools such as Excel, PivotTables, macros, SQL, and visualization tools such as Tableau and QuickSight.
  • Experience manipulating large datasets, summarizing them into metrics, and conducting appropriate statistical tests, such as regression, t-tests, and chi-square tests.
  • Familiarity with artificial intelligence and machine learning techniques applied to manufacturing, including predictive maintenance, anomaly detection, and process mining.
  • Familiarity with Industry 4.0 technologies and their application in manufacturing.
  • Knowledge of enterprise resource planning and manufacturing execution system software.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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