Engineering Statistics and Data Analytics Manager (M6) - Onsite

RTX • East Hartford, CT

9d • Onsite

About The Position

Pratt & Whitney is seeking a dynamic and visionary Associate Director of Engineering Statistics & Data Analytics to spearhead our mission of converting complex engineering data into actionable strategic insights. In this critical leadership role, you will serve as the bridge between advanced statistical methodologies and practical engineering applications, guiding a team focused on driving improvements in product and process quality, yield, and reliability. We are looking for a strategic leader who embodies the "player-coach" mindset—someone capable of delving into intricate Bayesian modeling one day and delivering a compelling, forward-looking data analytics roadmap to executive leadership the next. This role offers a unique opportunity to shape the future of engineering analytics at Pratt & Whitney while making a tangible impact on operational excellence and innovation.

Requirements

• A Bachelors degree in degree in Science, Technology, Engineering or Mathematics (STEM) and 12 years relevant experience, or an Advanced Degree in a related field and 10 years relevant experience.
• Relevant experience includes engineering-heavy industry (e.g., Semiconductors, Aerospace, MedTech, or Automotive)engineering-heavy industry (e.g., Semiconductors, Aerospace, MedTech, or Automotive) with at least 3 years in a leadership/management capacity.
• U.S. Citizen - The ability to obtain and maintain a U.S. government-issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Nice To Haves

• Education: Master’s or PhD in Statistics, Data Science, Mathematics, or a related quantitative field.
• Expertise in R, Python, or JMP/Minitab.
• Proficiency working with large-scale industrial datasets.
• Strong grasp of Machine Learning (ML) applications within physical systems.
• Familiarity with concepts around product safety and reliability, and Safety Management Systems.
• Six Sigma Black Belt or similar process improvement certification.
• Familiarity with cloud-based data architectures (AWS/Azure).

Responsibilities

• Strategic Leadership: 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, RTX harmonization 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.
• Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays.
• Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees