Senior Manufacturing Operations Analyst

Boeing•Mesa, AZ

8d•$111,350 - $150,650•Onsite

About The Position

The Boeing Company’s Boeing Defense, Space & Security team is seeking a Senior Manufacturing Operations Analyst for Phantom Works in Mesa, Arizona, supporting its Specialty Materials Manufacturing portfolio. The facility designs and produces military products, including aircraft parts and assemblies made from composite materials, with an emphasis on quality, safety, and sustainability. The analyst assesses processes and practices against applicable standards, analyzes and interprets data, and provides feedback on assessment results. The role works with organizations to develop and implement strategies, plans, and metrics for company initiatives using Lean methodologies or other applicable tools and processes. The position works under general direction and is expected to be 100% onsite. The position requires the ability to obtain a U.S. security clearance; an interim and/or final Secret clearance and the ability to obtain and maintain Special Access Program clearance are required post-start. The U.S. Government requires U.S. citizenship for the stated security clearance. The role must also meet U.S. export-control requirements, which require a U.S. Person as defined by the cited regulation. Boeing will not sponsor applicants for employment visa status. This position is not contingent upon program award and is not safety sensitive.

Requirements

High school diploma or GED.
Experience with Word, Excel, Access, Outlook, SharePoint, and MS Project.
At least 3 years of experience in a manufacturing operations environment.
Experience implementing Lean methodologies and productivity improvements.
Ability to obtain a U.S. security clearance; U.S. citizenship is required by the U.S. Government for the stated clearance.
Ability to obtain and maintain Special Access Program clearance after starting.
Meet U.S. export-control compliance requirements as a U.S. Person under 22 C.F.R. §120.62.
Work onsite 100% at one of the listed location options.
Applicants must apply before October 29, 2026.

Nice To Haves

Bachelor’s degree.
Experience in the aerospace and defense industry and/or the military.
Experience interfacing with senior and executive leadership.
At least 3 years of experience collecting, analyzing, and interpreting data and managing projects.
Typical education and experience may include a bachelor’s degree and 6 or more years of related work experience, or an equivalent combination of education and experience.

Responsibilities

Provide expertise to work cell teams on the appropriate paths and resources for efficiently and effectively resolving production issues, using technical knowledge, understanding of process flow, and networking skills to connect issues with responsible support organizations.
Use a tracking system to document and communicate production issues and ensure they are resolved.
Assess processes and practices against applicable standards and criteria.
Analyze and interpret data; provide root-cause corrective action and trend data to identify and eliminate high-impact and systemic issues.
Coordinate and facilitate multifunctional meetings required to resolve issues.
Work with organizations to develop strategies, plans, and metrics for company initiatives using Lean methodologies or other applicable tools and processes.
Implement strategies and plans at the appropriate organizational level.
Support integrated scheduling for Mesa Fabrication facilities.
Support Ariba ordering and manage overhead spending.
Support Adaptive Planning inputs to Staffing & Site Integration.
Serve as a meeting and calendar delegate.
Organize meetings, stand-downs, catering, and recognition activities.
Set up and organize travel for executive leadership.
Provide Gemba support.
Track order fulfillment to the correct point of contact and destination.
Barcode and enter tooling into GOLD.
Manage long-lead material storage and consumption, including core and freezer materials.
Track calibrated tools.
Assign asset tags.
Support large-scale data integration.