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First Article Inspection (FAI) Process Administrator

General Atomics Intelligence

Posted today
Top Secret
Unspecified
Unspecified
Poway, CA (On-Site/Office)

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.

We have an exciting opportunity for a FAI Process Administrator to join our Quality team in Poway. The FAI Process Administrator owns and continuously improves the First Article Inspection (FAI) process within an aerospace manufacturing environment. This role ensures compliance with AS9102, customer, and regulatory requirements while driving efficiency, transparency, and innovation.

Serving as the central coordinator for FAI documentation, training, governance, metrics, and strategy, the role partners cross-functionally from shop floor to leadership. Key responsibilities include developing and executing a multi-year strategic roadmap incorporating digital tools, AI, Cpk, and process improvements.

DUTIES AND RESPONSIBILITIES:

FAI Process Ownership
  • Own and administer GA-ASI FAI process across programs, and sites.
  • Act as FAI subject matter expert and ensure AS9102 and customer compliance.
  • Coordinate FAI execution across Engineering, Manufacturing, Quality, Supply Chain, and Programs.
Documentation & Training
  • Develop and maintain FAI procedures, templates, and work instructions.
  • Lead documentation reviews and updates based on audits and lessons learned.
  • Design and deliver FAI training and partner with Learning teams to ensure compliance.
Metrics & Process Efficiency
  • Define and manage KPIs for FAI quality, cycle time, and effectiveness.
  • Create dashboards, analyze trends, and lead data-driven improvements.
Strategy & Innovation
  • Own a three-year FAI strategic roadmap aligned with business objectives.
  • Identify and pilot AI, automation, and digital inspection solutions.
  • Support change management for new tools and methodologies.
Communication & Engagement
  • Communicate FAI status, risks, and improvements clearly to stakeholders.
  • Facilitate cross-functional alignment and problem solving.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job Qualifications

  • Typically requires a bachelor's or master's degree in engineering or related discipline and five or more years of related experience with a bachelor's degree or three or more years with a master's degree. May substitute equivalent experience in lieu of education.
  • Strong knowledge of AS9102 and FAI requirements in regulated manufacturing.
  • Experience with process documentation, training, metrics, and leadership presentations.
  • Ability to read engineering drawings and GD&T (ASME Y14.5).
  • Knowledge of manufacturing, inspection methods, and special processes.
  • Experience with FAI package review (internal and supplier).
  • Familiarity with inspection tools (CMMs, calipers, optical comparators) and calibration.
  • Understanding of AS9100, audits, corrective action, and root cause analysis.
  • Proficiency with data analysis tools and digital systems (QMS, PLM, MES).
  • Knowledge of continuous improvement, Lean/Six Sigma, and process automation.
  • Excellent communication and collaboration skills.
Preferred Qualifications & Competencies
  • Experience leading quality or inspection processes.
  • Exposure to AI, digital quality systems, or advanced inspection technologies.
  • Project management or continuous improvement experience.
  • Strategic and analytical thinking.
  • Change management and influence.
  • Strong organization and communication skills.
  • Ability to translate complex requirements into execution.
group id: 10414685
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About Us
GA-CCRi maintains and deploys production systems for users across the Intelligence Community, Department of Defense, and commercial industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in!

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