Advises activities for all product lifecycles for Prognostics Heath Management (PHM), and Modeling and Simulation Responsible for the cost, schedule and technical performance for the PHM, and Modeling and Simulation groups Acts as contact for disciplines' activities, leading review sessions with internal and external customers Supports design concepts, criteria and engineering efforts for product research, development, integration, test, and deployment / sustainment. Develops new business or expands capability with the programs. Establishes achievements and monitors alignment to master plans and schedules, identifies program problems and acquires solutions, such as allocation of resources or changing contractual specifications. Advises the work of employees supporting programs from technical, execution and administrative areas. Understands statistical analyses and analytic hierarchy processes, for qualified and quantifiable measures Understands rule-based and model based diagnostic approaches for Integrated Health Management Understands Availability as defined by RAM-C and Testability Analysis in support of Failure Mode Effects Criticality Analyses (FMECA) Bachelor's Degree in a Science, Technology, Engineering, or Mathematics (STEM) field from an accredited university AND 9 years of related professional/military experience in Engineering, OR a Master's degree AND 7 years of related professional/military experience in Engineering. Experience with Modeling and Simulations tools. Experience with data analytics tools - MATLAB, Python, R, and /or SQL. Your ability to transfer and maintain the final adjudicated government Secret clearance, and any program access(es) required for the position within a reasonable period of time, as determined by the company. Master's degree in a STEM field (Mechanical, Electrical or Manufacturing). Active DoD Top Secret Clearance. Current Special Program Access (PAR/SAP). EVMS/Work Package Manager Experience. Experience performing PHM and Mod/Sim tasking to support programs. Experience with Mod/Sim tools. Experience with MATLAB, Python, R, and SQL.