Engineering Statistics and Data Analytics Manager

Responsibilities

• Lead and mentor a high-performing team of statisticians and data scientists to foster technical excellence
• Develop and execute a strategic data analytics roadmap aligned with organizational innovation goals
• Drive strategy for enhanced analytics to improve product safety, reliability, and process quality
• Serve as the Subject Matter Expert (SME) for Design of Experiments (DoE), Statistical Process Control (SPC), and Reliability Analysis
• Partner with Manufacturing, R&D, and Product teams to implement predictive modeling and root-cause analysis
• Establish standards for data integrity and statistical validation protocols across the engineering lifecycle

Requirements

• Bachelor's degree in a STEM field and 10 years of relevant experience, or an Advanced Degree and 7 years of relevant experience
• At least 3 years of experience in a leadership or management capacity
• Expertise in R, Python, or JMP/Minitab
• Proficiency working with large-scale industrial datasets and Machine Learning (ML) applications
• U.S. citizenship is required
• Ability to obtain and maintain a U.S. government issued security clearance

Preferred Qualifications

• Master’s or PhD in Statistics, Data Science, Mathematics, or a related quantitative field
• Familiarity with product safety, reliability, and Safety Management Systems
• Six Sigma Black Belt or similar process improvement certification
• Experience with cloud-based data architectures such as AWS or Azure

About the Company

Pratt & Whitney is a world leader in the design, manufacture, and service of aircraft engines and auxiliary power systems. As part of RTX, a global leader in aerospace and defense, we push the boundaries of science to solve the world's most complex problems and shape the future of flight.