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Industrial & Process Engineering Digital Technology Leader, Associate Director, Remote

Remote / Online - Candidates ideally in
Mesa, Maricopa County, Arizona, 85201, USA
Listing for: Prattwhitney
Remote/Work from Home position Listed on 2026-11-10
Job specializations:
  • Manufacturing / Production
    Operations Management, Systems Engineer
Salary/Wage Range or Industry Benchmark: 157000 - 299000 USD Yearly USD 157000.00 299000.00 YEAR

Job Description & How to Apply Below

Position: Industrial & Process Engineering Digital Technology Leader, Associate Director, Remote with Travel

Associate Director, Business – Raytheon Capacity Growth Office, Digital Automation team Remote – up to 50% Travel required to US locations, AZ/TX/MA/AL.

Date Posted:  Country:
United States of America

Location:

US-AZ-REMOTE Position Role Type:
Hybrid U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Security Clearance Type:
DoD Clearance: TS/SCI.

At RTX, the world 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.

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

Raytheon is seeking a forward-thinking Industrial & Process Engineering Digital Technology Leader to drive operational excellence and digital transformation across the end-to-end value stream. The role is pivotal in leveraging advanced analytics, modeling, and continuous improvement methodologies to optimize manufacturing and supply chain processes. This leader will play a critical role in ensuring scalable capacity, streamlined workflows, and data-driven decision-making to support our mission and business objectives and is a key role as part of our Capacity Growth Office Digital Automation efforts.

This role will be based remotely from a US Domestic location and extensive travel will be required to our US Site locations, including but not limited to:
Tucson, AZ (initial primary focus);
McKinney, TX;
Huntsville, AL; and Andover, MA; travel will be required to our other US sites as business needs dictate. This will be 50% Travel to meet Factory Leaders at our manufacturing sites at the aforementioned locations.

Key Responsibilities
  • Capacity Planning and Monitoring:
    Develop and maintain robust capacity models and real-time monitoring systems. Ensure optimal utilization of assets, workforce, and processes to meet business demands effectively.
  • Digital Twin, Simulation, and Modeling:
    Build and deploy digital twins and simulation environments for scenario planning and strategic decision-making. Utilize advanced modeling techniques to mitigate risks and improve operational resilience.
  • Lean Manufacturing & Six Sigma Enablement:
    Champion Lean and Six Sigma methodologies to reduce waste, minimize variability, and enhance operational efficiency. Drive continuous improvement initiatives across teams and workflows.
  • End-to-End Value Stream Design, Flow, and Optimization:
    Lead value stream mapping and holistic system optimization to improve throughput and reduce cycle times. Streamline processes to enhance customer responsiveness and satisfaction.
  • Data Engineering, Business Intelligence, and Analytics:
    Collaborate with data teams to architect data pipelines, dashboards, and predictive analytical models. Utilize actionable insights to support data-driven decision-making across the organization.
  • Advanced Planning and Scheduling:
    Implement advanced planning and scheduling tools that align demand, capacity, and resources. Improve production stability and service performance through…
  • Position Requirements

    10+ Years work experience
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