Leadership Development Program – Operations, Supply Chain Track (Starts June 2027)

RTX•Arlington, VA

1d•$59,000 - $139,000•Onsite

About The Position

Discover an extraordinary opportunity to accelerate your engineering career and develop into a future operational leader at RTX. Our Operations Leadership Development Program (OLDP)-Supply Chain Track provides challenging, high-visibility assignments across the enterprise, allowing you to build a powerful global network. You will receive high-caliber training, professional mentoring, and frontline, hands-on engineering experience directly on our manufacturing shop floors. This fast-paced path expands your business acumen, sharpens your technical expertise, and prepares you to make a lasting impact on our global operations. Actively recruiting for the next cohort and program that begins June 2027.

Requirements

Bachelor’s degree in Supply Chain, Operations, Business Administration, Economics, Industrial Engineering, or a related Science, Technology, Engineering, or Mathematics (STEM) major. Degree must be obtained by start date.
Willing and able to operationally relocate to various RTX geographic locations across the United States for three distinct 8-month program assignments.
Strong analytical and data literacy skills, including proficiency with Microsoft Excel (such as utilizing pivot tables and lookups) or other business intelligence and data analysis tools
Demonstrated experience presenting/communicating technical or operational data to external stakeholders, peer groups, leadership, or customers OR holding a designated leadership/coordinator role within a student organization, design team (e.g., Formula SAE), or project group
Relevant internship/co-op or work experience in aerospace, defense, logistics, manufacturing or related industries
Experience may be obtained through on-the-job experience, research, coursework, or projects.

Nice To Haves

Self-motivated and team-oriented work style with the agility to thrive in a fast-paced, dynamic manufacturing and operations environment.
Strong interpersonal skills with a proven capability to interface and collaborate comfortably with all levels of management, shop floor personnel, and external vendors.
Demonstrated ability to work autonomously with minimal guidance or successfully execute milestones within cross-functional project teams.
Strong project management capabilities with a demonstrated track record of taking initiative and organizing project deliverables.
Intermediate to advanced proficiency with Microsoft Office applications (Word, Excel, PowerPoint) for project tracking and reporting.
Baseline familiarity or prior experience working within enterprise resource planning (ERP) architectures such as SAP, Oracle, or Microsoft Dynamics.
Practical exposure to core sourcing and procurement workflows, including RFQ/RFP generation, supplier negotiations, or purchase order management frameworks.
Foundational continuous improvement credentials, such as a Lean Six Sigma Yellow Belt or Green Belt certification.
Familiarity or academic exposure to business intelligence and data analytics platforms, including Power BI, Tableau, QuickBase, Qlik, SQL, or Python.
Prior RTX internship, co-op, or work experience

Responsibilities

Complete three 8-month rotational assignments across various U.S. locations, adapting quickly to new manufacturing facilities, business units, and operational quality teams.
Execute core engineering duties and technical milestones within one or more specialized quality disciplines, including Operations Quality, Supplier Quality, Regulatory Compliance, Escape Management, Continuous Improvement, and Customer/Program Quality.
Participate in frontline, hands-on shop floor assignments to identify, analyze, and resolve technical quality challenges.
Collaborate with cross-functional teams to identify and drive performance, process safety, and product quality improvements across production environments and development labs.
Support regulatory compliance audits, escape management investigations, and root-cause analysis to ensure product integrity and minimize operational risk.
Leverage engineering and data analytics tools to optimize quality planning, evaluate operational metrics, and eliminate process waste.