Mathematics and Modeling Estimating Lead

Boeing Boeing · Aerospace · Mesa, AZ

This role focuses on developing and maintaining cost estimates, EACs, and ROMs using data analysis, parametric modeling, statistical methods, and risk analysis within the aerospace and defense industry. It involves collaborating with cross-functional teams, communicating findings to executives, and building/enhancing estimating databases and tools. The role requires leadership in developing complex estimates and training junior team members.

What you'd actually do

  1. Consults large cross-functional teams to understand complex Estimating requirements and processes and be able to translate them to scalable, best-in-class solutions
  2. Applies cost modeling techniques within the evaluation of proposal strategies
  3. Applies statistical analysis to data sets to support the development of complex estimating methodologies
  4. Conveys complex analysis and recommendations in an easily digestible format across various functions
  5. Develops analytical and/or innovative estimating solutions when datasets are limited or imperfect
  6. Performs complex analysis, consults team members and leadership regarding recommendations in support of estimating and pricing methodologies, tools, and processes
  7. Leads and develops complex estimates while training less senior team members

Skills

Required

  • Master's Degree or higher
  • 10+ years of experience in the aerospace and/or defense industry
  • 10+ years of experience working with statistical methods (i.e., segmentation models, regression analysis, trend analysis, etc.)
  • 10+ years of experience using all the following Microsoft Office Tools (Word, Excel and PowerPoint)
  • Experience presenting analysis and making recommendations to executive leadership

Nice to have

  • Master's Degree or higher in an engineering or quantitative field (e.g. statistics, operations research, information systems, bioinformatics, economics, computational biology, computer science, mathematics, physics, chemistry or similar quantitative fields)
  • Experience with parametric modeling and estimating (commercial tools such as SEER or TruePlanning, and/or custom models)
  • Proficiency with statistical software
  • Proven experience analyzing large datasets
  • Experience with risk analysis and risk analysis software such as @RISK
  • Cost Certification: ICEAA Certification (CCEA, PCEA, SCEC), Defense Acquisition University, or other related certification
  • Ability to travel

What the JD emphasized

  • 10+ years of experience in the aerospace and/or defense industry
  • 10+ years of experience working with statistical methods
  • 10+ years of experience using all the following Microsoft Office Tools (Word, Excel and PowerPoint)
  • Experience presenting analysis and making recommendations to executive leadership