Planning, Analytics & Industrial Engineering Manager; Onsite

Date Posted:

Country:
United States of America

Location:

US-GA-MIDLAND-MPC ~ 8801/8987 Macon Rd ~ BLDG MPC

Position Role Type:
Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:
None/Not Required

Security Clearance Status:
Not Required

• 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. Salary estimates are based on experience level and other factors. Payment under incentive compensation programs is not guaranteed and depends on performance and business outcomes.

Benefits may include 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. Eligibility and details may vary by business unit and collective‑bargaining agreements.

This is a U.S.

-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

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, 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.