RTX

Aerospace and Defense

Planning,Analytics&IndustrialEngineeringManager

$135–195k ~AI est. MIDLAND-MPC, Georgia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“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.

Aerospace and Defense
Problems you'll solve

Data-driven insights; IE methodologies; Analytical solutions; Performance optimization

Eligibility Requirements

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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