Planning, Analytics & Industrial Engineering Manager; Onsite

What You Will Do:

• Lead a team focused on industrial engineering, planning, and advanced data analytics supporting operational performance.
• Develop and deploy standardized analytics solutions such as capacity models, KPI dashboards, predictive tools, and automated reporting.
• Improve process discipline across engine ship visits and long‑range forecasting through data‑driven insights and IE methodologies.
• Partner with Operations, SIOP, Quality, Finance, and Program organizations to ensure planning models and analytics align with business needs.
• Translate planning and operations requirements into analytical solutions and scalable tools.
• Drive continuous improvement and performance optimization using IE principles and data analytics.
• Mentor and develop team members in analytics, industrial engineering, and operations planning skill.
• Ensure data integrity, governance, and consistent use of analytical standards across planning processes.
• Represent the team in cross‑functional readiness reviews, planning forums, and strategy discussions.

• Strategic Planning & Decision‑Making
• Data & Analytics Leadership
• Industrial Engineering Expertise
• Continuous Improvement
• Developing Talent
• Cross‑Functional Leadership
• Operational Execution Excellence

• Bachelor’s degree and 10 years of experience; or Advanced Degree and 7 years of experience in industrial engineering, planning, SIOP, operations analytics, or similar disciplines.
• Demonstrated experience leading teams and delivering complex analytical or planning solutions.
• Experience with ERP/MRP planning systems and operations planning frameworks.

• Degree in Engineering, Data Analytics, Operations, or Business.
• Experience implementing enterprise or multi‑site analytical tools or planning processes.
• Knowledge of advanced modeling, simulation, or optimization tools.
• Background in aerospace or complex manufacturing environments.
• Strong technical skills in analytics tools such as Power BI, Tableau, SQL, or Python.

• Salary range: 132,400 USD – 251,600 USD.
• Medical, dental, vision, life insurance, short‑term and 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.
• Annual short‑term and/or long‑term incentive compensation programs (dependent on level and collective‑bargaining agreement).
• Benefits eligibility varies by business unit and collective‑bargaining status.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified individuals with a disability and protected veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.