Quality Manager II

EchoStar•El Paso, TX

6d•Onsite

About The Position

This role oversees facility quality functions and manages a team of quality inspectors to ensure compliance with DISH's manufacturing standards. The position involves utilizing statistical sampling, advanced quality assurance engineering tools, and data analysis to validate hardware streams prior to customer distribution. Key focus areas include resolving unresolved issues, leading root cause investigations, optimizing workflow efficiency, and driving continuous process improvements across cross-functional teams.

Requirements

Expertise in Statistical Process Control (SPC), Design of Experiments (DOE), Six Sigma, DMAIC, and Lean Manufacturing principles
Advanced proficiency in 8D root cause analysis and quality tools including 5 Whys, Fishbone diagrams, and FMEA
Strong capability in managing Non-Conforming Material Management (NCMM), Material Review Board (MRB), and Corrective Action processes
Deep working knowledge of IPC standards and ISO-9001:2015 quality management systems
Demonstrated ability to apply mathematical concepts, statistical inference, and multi-variable analysis to solve operational quality problems
AI literacy and application skills to streamline data analysis, technical documentation authoring, and quality reporting
Minimum Education: Bachelor of Science (B.S.) in Engineering or a related technical discipline
Minimum Experience: 7+ years of relevant quality engineering or quality management experience
Statistical Process Control (SPC), DOE, DMAIC, and Lean Manufacturing frameworks
ISO-9001:2015 systems, IPC standards, and ANSI sampling procedures
Root cause analysis methodologies including 8D, 5 Whys, Fishbone diagrams, and FMEA

Nice To Haves

Candidates must be willing to participate in at least one in-person interview.

Responsibilities

Direct daily quality inspection workflows, establish work procedures, and optimize departmental operational efficiency
Investigate root causes of complex operational issues, analyze error trends, and manage Corrective Action Requests (CARs) to resolve discrepancies
Define quality processes in collaboration with manufacturing personnel while applying ANSI sampling procedures and attribute inspection tables
Collect and analyze performance metrics to evaluate group performance against established key performance indicators (KPIs)
Partner with supply chain teams to set supplier quality performance criteria, monitor vendor performance, and conduct supplier facility visits
Leverage AI quality management tools and data analytics platforms to automate defect trend detection and enhance predictive quality control processes