Configuration & Data Manager

Requisition #: TLS-26-033 | Clearance: Active DoD Secret (US citizenship required) | Level: Senior | Experience: 7+ years | Education: Bachelor's (4-yr) | Work site: Redstone Arsenal – Huntsville, AL (on-site)

What you'll do:

• Organize and maintain program assets, including reports, briefings, engineering drawings, and technical documentation

• Manage the intake, routing, tracking, and archival of MDA development data

• Serve as the lead administrator for the program's Integrated Data Environment (IDE), managing MDA SharePoint sites and shared data repositories

• Facilitate major program reviews by coordinating logistics, compiling briefing decks, tracking objective evidence, and recording action items

• Oversee the end-to-end Contract Data Deliverables (CDRL) lifecycle, including receipt, tracking, forecasting, and cross-functional distribution

• Support prime contractor Configuration Control Board (CCB) activities by logging change requests, preparing supporting data packages, and documenting meeting minutes and action items

• Maintain the Lessons Learned database, overseeing the drafting, coordination, archival, and distribution of findings across government and industry stakeholders

Required qualifications:

• U.S. citizenship with an active DoD Secret security clearance

• Bachelor's degree with 7+ years of data/configuration management experience supporting missile defense or large-scale, complex DoD programs

• Proven background establishing and maintaining strict configuration-controlled environments

• Ability to review systems engineering documentation to verify accuracy and alignment with program specifications

• Strong written and verbal communication skills, with demonstrated experience delivering structured, audience-tailored presentations and reports

Preferred qualifications:

• Familiarity with MDA and Systems Engineering processes

• Hands-on proficiency with tools such as Windchill, SharePoint, MS Teams, Power BI, Jira, DOORS, Cameo, and Git

• Experience applying AI/ML tools to enhance data analytics, workflow automation, and process improvement