RTX
Aerospace and Defense
Planning,Analytics&IndustrialEngineeringManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Planning, Analytics & Industrial Engineering Manager at RTX. Skills: Industrial engineering, Planning, Data analytics, Operations planning. Lead a team focused on industrial engineering. Lead planning and advanced data analytics”
Industry & Context.
Data-driven insights; IE methodologies; Analytical solutions; Performance optimization
U. S. citizenship is required
What They're Looking For.
Must Have
Bachelor's degree and 10 years of experience, Advanced Degree and 7 years of experience, Demonstrated experience leading teams, Delivering complex analytical or planning solutions, Experience with ERP/MRP planning systems, Experience with operations planning frameworks
Nice to Have
Degree in Engineering, Data Analytics, Operations, or Business, Experience implementing enterprise or multi-site analytical tools, Experience implementing planning processes, Background in aerospace or complex manufacturing environments
What You'll Do.
Lead a team focused on industrial engineering
Lead planning and advanced data analytics
Support operational performance
Develop standardized analytics solutions
Deploy standardized analytics solutions
Improve process discipline across engine ship visits
Improve long-range forecasting
Partner with Operations
Partner with Program organizations
Translate planning requirements into analytical solutions
Translate operations requirements into analytical solutions
Translate planning requirements into scalable tools
Translate operations requirements into scalable tools
Drive continuous improvement
Drive performance optimization
Mentor team members in analytics
Mentor team members in industrial engineering
Mentor team members in operations planning
Develop team members in analytics
Develop team members in industrial engineering
Develop team members in operations planning
Ensure data integrity
Ensure data governance
Ensure consistent use of analytical standards
Represent the team in cross-functional readiness reviews
Represent the team in planning forums
Represent the team in strategy discussions
How You'll Work.
Team & Collaboration
Cross-functional readiness reviews; Planning forums; Strategy discussions; Operations; SIOP; Quality; Finance; Program organizations
Full Job Description
**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 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. **Pratt & Whitney** is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense. **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 d
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