Engineering Statistics and Data Analytics Manager (M5) – Onsite

On Site Full TimeConnecticut, United StatesRTX

We are seeking a visionary Engineering Statistics & Data Analytics Manager to lead our efforts in transforming complex engineering data into actionable strategic insights.

Requirements

  • Strategic Leadership: Work in conjunction with the Director of Engineering Product Integrity to develop and execute a roadmap for data analytics within the engineering org, ensuring alignment with Pratt & Whitney’s 2026 innovation goals.
  • Product Safety Insights: Drive strategy and execution for enhanced analytics for insight and action around product safety and reliability.
  • Statistical Oversight: Serve as the Subject Matter Expert (SME) for Design of Experiments (DoE), Statistical Process Control (SPC), and Reliability Analysis.
  • Team Management: Mentor and grow a high-performing team of statisticians and data scientists, fostering a culture of technical excellence and continuous learning.
  • Cross-Functional Collaboration: Partner with Manufacturing, R&D, and Product teams to implement predictive modeling and root-cause analysis that reduces ‘time-to-market.’
  • Data Governance: Establish standards for data integrity and statistical validation protocols across the engineering lifecycle.

Benefits

  • Eligible for Relocation
  • 401(k) match
  • Flexible spending accounts
  • Flexible work schedules
  • Employee assistance program
  • Employee Scholar Program
  • Parental leave
  • Paid time off
  • Holidays
  • Medical, dental, vision, life insurance, short-term disability, long-term disability

Tagged as:

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

  • Applications have closed

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!