Date Posted:
2026-06-02
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
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 longrange forecasting through datadriven 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.
What You Will Learn:
Strategic Planning & DecisionMaking
Data & Analytics Leadership
Industrial Engineering Expertise
Continuous Improvement
Developing Talent
CrossFunctional Leadership
Operational Execution Excellence
Qualifications You Must Have:
Bachelors 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.
Qualifications We Prefer:
Degree in Engineering, Data Analytics, Operations, or Business.
Experience implementing enterprise or multisite 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
Learn More & Apply Now
Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employees personal responsibility.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attendselect steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidates work experience, location, education/training, and key skills.
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. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
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. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the companys performance.
This role 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 anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
