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Digital Enterprise Project Engineer - 3476

Arnold AFB, TN · Government/Military
Title: Digital Enterprise Project Engineer- 3476
Function: Business Operations
Position Type: Regular, Full-Time                                                       
Pay Type: Exempt
Grade: 35/36

US Citizenship Required

This opportunity is being offered by National Aerospace Solutions, the team selected by the U.S. Air Force to conduct Test and Operations Sustainment at the Arnold Engineering Development Complex (AEDC), Arnold Air Force Base, Tennessee.  National Aerospace Solutions is a limited liability company comprised of Bechtel National Inc. (as lead company) and Sierra Lobo Inc. with teaming Subcontractors nLogic Inc. and Chugach Federal Solutions Inc. AEDC operates more than 55 aerodynamic and propulsion wind tunnels, rocket and turbine engine test cells, space environmental chambers, arc heaters, ballistic ranges and other specialized units located in six states. Many of the complex's test units have capabilities unmatched elsewhere in the United States; some are unique in the world. AEDC is one of three installations which are part of the Air Force Test Center (AFTC), one of six subordinate commands of the Air Force Materiel Command organization and an important national resource.

AEDC’s mission is to conduct developmental test and evaluation for the Nation through modeling, simulation, ground, and flight test.  Execution of the mission requires a large team of highly qualified and dedicated professionals from multiple technical disciplines to effectively accomplish the objectives of our test customers.

Job Summary:
This job is to develop and apply statistical and modern analytical methods to improve operations and maintenance of the Arnold Engineering Development Complex (AEDC) air and space ground test equipment and facilities. The successful candidate will work as a member of the Digital Enterprise group (DE) in the Mission Support Branch to lead implementation of data-centered projects to improve the AEDC ground test data infrastructure, facility operations, and business systems. The person selected for this role will work closely with multidisciplinary work teams throughout the NAS organization to identify opportunities for leveraging data to drive decisions and will help design and implement a data architecture working with the Digital Enterprise team.

 The Project Engineer supports the development of technical scope, requirements, estimates, and schedules for capital investment, test, and maintenance projects for the Digital Enterprise Project Management organization. This role coordinates Engineering activities (e.g., technical planning, design, installation, and checkout) with Design Engineers, System Engineers, Test Operations Engineers, Project Managers, other non-Engineering functions, and support for the projects within the Digital Enterprise Project Management’s portfolio.

Job Duties:
  • Responsible for coordination of engineering deliverables on a project or group of projects for NAS. Coordinates with the Digital Enterprise Project Managers, Group Managers, and Functional Managers to secure the resources needed to complete design activities.
  • Communicates information that assists with effective priority determination by Digital Enterprise Branch Management.
  • Coordinates with the technical team to guide and direct 0-Works with Project Controls to develop work breakdown structures; Critical Path Method (CPM) schedules; and resource, cost, and budget plans.
  • Supports Project Control / Digital Enterprise Project Manager in performing critical path analysis and development of timelines for completion of tasks, measuring the deliverable work packages of the project against the project plan.
  • Communicates schedule conflicts, resource constraints, and time constraints to the project team, section supervisors, and group managers.
  • Assist with PM responsibilities as needed in the preparation of progress reports, standardized reporting procedures, and the monitoring of overall project performance.
  • Tracks project charging and ensures appropriate charge number assignment.
  • Organizes and communicates project information (e.g., scope of work, requirements documentation, drawings, and estimates) to project team members.
  • Serves as a technical liaison between the project team, contractor, and government engineering staff.
  • Support process improvement efforts and development and documentation of new processes.
  • It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
  • Perform other related duties as required.

Basic Qualifications:
  • Bachelor of Science degree in engineering, computer science or other engineering discipline from an accredited college or university a minimum of 5 years of progressive work experience in design engineering or other relevant types of engineering such as test operations or plant operation in large industrial plants, utilities, process plants or engineering/construction firms.
  • Prior experience managing engineering projects and/or designing systems.
  • Current United States citizenship required.
Preferred Qualifications:
  • Technical knowledge of related engineering systems, engineering calculations, applications of engineering and construction methods and materials, and engineering application of computers.
  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or another relevant engineering field from an accredited university program.
  • Demonstrated experience in a data analytics role applied to technical data in probability analyses and statistical analytics to gain insights using large data sources.
  • Knowledge of data mining, analysis and collection techniques applied to operations and analysis, especially safety or operations process improvement.
  • Experience using statistical computer languages (R, Python, SQL, etc.) to analyze data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Experience performing root cause analysis.
  • Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
  • Coding knowledge and experience with multiple languages
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc.
  • Good interpersonal and communication skills, both written and verbal, including the preparation of technical reports is required.

Due to Air Force Security requirements, U.S. Citizenship is required for employment at AEDC.

 NAS is an Equal Opportunity Employer of Minority/Women/Veterans/Disabled (AA/EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity and expression, pregnancy, physical or mental disability, citizenship, genetic information, protected veteran status or any other characteristic protected by federal, state or local law. Applicants with a physical or mental disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to careers@nas-llc.usPLEASE DO NOT SUBMIT RESUMES to this address as they will not be considered for employment opportunities.


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