• BI Solution Design: Craft and implement advanced Business Intelligence solutions that enable real-time monitoring and predictive analysis of our industrial engineering processes.
• Data Strategy Mastery: Leverage your experience to devise and execute data-driven strategies that align with GA-ASI’s overarching goals.  Collaborate close with cross-functional teams to identify critical data sources, extract relevant insights, and shape the future of our business.
• Complex Data Analysis: Dive deep into intricate datasets to uncover hidden patterns, anomalies, and trends.  Utilize your statistical expertise to provide comprehensive analyses that drive operational improvements and process optimizations.
• Lead the analysis and optimization of manpower, facility space, materials, equipment, and information flow for major processes or value streams.
• Drive the design and implementation of advanced process improvements across manufacturing, logistics, and operations, often spanning multiple departments or sites.
• Act as a primary industrial engineering resource on cross-functional projects, operating with minimal direction and significant responsibility for results.
• Anticipate operational risks and future capacity or capability needs; develop robust, data-driven solutions to complex technical and business problems.
• Lead the resolution of complex technical issues, selecting and applying advanced industrial engineering, lean, and automation concepts.
• Collaborate closely with Design Engineering to influence product and process architectures during prototype, development, and first article phases to enable scalable, efficient production.
• Partner with Operations Program Management and P&L leadership to define and optimize processes for international operations and foreign customers, including logistics and compliance considerations.
• Establish, standardize, and continuously improve work instructions, routings, and process documentation for multiple product families or production areas.
• Communicate technical strategies, process changes, and improvement results clearly and persuasively to stakeholders at multiple levels, including management.
• Contribute significantly to site or business-level planning, including data and recommendations for capital investments, automation, footprint optimization, and digital transformation initiatives.

• Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience as follows; six or more years of experience with a bachelors degree, four or more years of experience with a masters degree, or two or more years with a PhD.  May substitute equivalent engineering experience in lieu of education.
• Manage complex database relationships and perform advanced statistical data analysis to enable comprehensive, insight-driven decision making.
• Proven expertise in utilizing BI tools such as Tableau, Power BI, or similar platforms to create impactful visualizations and reports.
• Expertise in data manipulation and analysis using programming languages such as SQL, DAX, and Python.
• Preferred engineering disciplines include Industrial, Manufacturing, Mechanical, and Electrical Engineering.
• Experience in manufacturing and production environment preferred. Defense and Aeronautical industry a plus.
• Experience managing engineering change processes, including impact analysis, coordination across functions, and implementation on the shop floor.
• Advanced proficiency with engineering drawings, complex BOM structures, and configuration control in a production environment.
• Demonstrated expertise applying Lean/Six Sigma methodologies to drive measurable improvements in cost, quality, delivery, and safety (e.g., leading kaizen events, advanced problem-solving).  Lean/Six Sigma Green Belt required or equivalent experience leading major LSS initiatives, Black Belt preferred.
• Experience leading the use of discrete-event simulation tools (e.g., Simio, Plant Simulation, Arena) to design, optimize, and justify changes to complex manufacturing systems.
• Strong proficiency with Microsoft Office, ERP systems (SAP preferred), and AutoCAD tools for facility/floor layouts and tooling concepts; experience with data analysis tools (e.g., Minitab, Power BI, Tableau) desirable.
• Proven experience in time studies, work measurement, capacity and resource planning, and layout optimization for complex processes or value streams.
• Experience working in regulated manufacturing environments; aerospace/defense and familiarity with AS9100 and RCCA processes preferred.
• Demonstrated ability to lead cross-functional efforts, manage multiple projects, and communicate effectively with stakeholders at various organizational levels.
• Must be able to work extended hours as required
• Ability to obtain and maintain a DoD secret clearance is required.
  

Clearance Required?: Desired
Clearance Level: Secret
US Citizenship Required?: Yes