Strategic Growth Partners

Strategic Growth Partners

Configuration Management Analyst

Crystal City, VA · Full-time

No sponsorshipDetected 505 days ago

About the role

  • Our client is a family of SBA-certified Native American Tribal 8(a) and multi-certified companies delivering IT, management consulting, and general construction solutions to the Federal Government and commercial sector.
  • They are actively seeking a Configuration Management Analyst based in Crystal City, Arlington, VA.
  • This position requires an active DoD Secret/SAR Clearance.

Responsibilities

  • SGP Recruiting provides both operations and strategic support to Tribal 8(a) and commercial organizations.

Requirements

  • Experience in program management, technical or business analysis discipline
  • a minimum of four years out of the prior eight years of program experience includes aircraft systems configuration management.
  • Demonstrated program experience in the configuration management process must include: configuration identification, control, audit, and status
  • Demonstrated CM experience with development, production, ancillary equipment, ground support equipment, test & evaluation, and fleet operations of a DoD and international acquisition aircraft program.
  • Demonstrated experience in providing guidance and assistance in configuration management, and change control and ensuring that all Class I.
  • Master's Degree in Engineering, S&T, Business Management or related discipline Or a Bachelor's Degree plus 4 years additional work experience related to the labor category functional description.

Compensation

  • Our client provides a variety of benefits including company-paid health, dental & vision insurance coverage, as well as additional employee-paid health insurance options; company-paid life and disability insurance; 401k retirement savings p

Company info

  • This is an exciting opportunity to be part of the team supporting the F-35/JPO project.

This listing is sourced directly from Strategic Growth Partners's careers page and normalized into a canonical job model.