Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tightknit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future. At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond? Pratt & Whitney is seeking an Associate Director, Model Based Quality Discipline Chief to serve as the technical leader for Model Based Quality across Pratt & Whitney’s internal and external operations. This is a highly visible and excellent career opportunity that will provide exposure across quality, engineering, DT and operations organizations. The successful candidate will be responsible for the disciplined health of Model Based Quality, which includes writing and maintaining standard work and improving the technical proficiency of its practitioners. This position draws on the Model Based Quality body of knowledge as the basis for proficiency and works with all Quality sub-disciplines to apply it to PW manufacturing operations including process planning, inspection, Manufacturing Readiness Levels, MRB, etc.... MB-DMI is a company-wide initiative to augment 3D models with formats that enable automated consumption in manufacturing business processes such as: Inspection programming, Tool Design, Work Instruction authoring, First Article Inspection, Process Capability Analysis monitoring & reporting, Physics based modeling, Material Review Board (MRB) for discrepant material. This effort is focused on creating the digital thread that supports efficient automated re-use of data across all these processes for internal and external producers. In addition, the discipline chief will also be responsible for AI models to drive predictive outcome of quality processes.
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Job Type
Full-time
Career Level
Mid Level