Education: Master's degree
Experience: 12+ years
- Lead the resiliency strategy for all new factory builds and factory expansions, ensuring facilities are designed for disaster recovery, business continuity, operational robustness, agility, and future scalability.
- Drive the integration of resiliency requirements into architectural, engineering, and construction plans, including utilities, automation, technology infrastructure, environmental controls, and redundancy systems.
- Conduct risk assessments and lead mitigation plans (e.g., seismic, climate, supply, utility, infrastructure, equipment, cloud, cyber-physical systems) to ensure site selection and design decisions reduce exposure to operational disruption.
- Define and implement the smart factory strategy, including the technical roadmap for architecture and infrastructure, ensuring alignment with enterprise growth and operational objectives.
- Design and deploy advanced digital solutions to optimize factory planning, construction, and operations, integrating digital engineering, digital twin, predictive analytics, and smart factory technologies.
- Design and deploy support systems to sustain high levels of uptime and performance for Manufacturing & Supply Chain Applications, Industrial Internet of Things (IIoT), automation and robotics, artificial intelligence (AI), machine learning, digital twin technology, and smart supply chain systems to enhance production efficiency and enable real-time decision-making.
- Collaborate with executive leaders across digital, cyber security, engineering, manufacturing/operations, supply chain, quality, and enterprise services to transform traditional manufacturing processes into state-of-the-art, digitally enabled production ecosystems.
* Frequent Travel (50% or more) required as needed to Factory sites for Raytheon across the US. Most travel will be to visit our Capacity Growth office factory sites in Tucson, AZ; Andover, MA; and McKinney TX. Additionally, there will be travel to other Raytheon US domestic locations as business needs dictate.
- Typically requires a University Degree or equivalent experience and minimum of 14 years prior relevant experience, or An Advanced Degree in a related field and minimum 12 years' experience - Experience leading and managing multiple functional teams. - Experience in leading Factory transformation and modernization initiatives from a Digital Technology perspective. - Experience in developing digital technology (IT) solutions/Support Models for improving Smart Factory environments in areas such as advanced automation, digital visualization, real time monitoring, and other areas for improving stability, agility and scalability. - The ability to obtain a US DoD Top Secret Security Clearance is required.
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
- Knowledge in aerospace, defense, automotive, electronics, warehouse/logistics fulfillment, or advanced industrial operations and manufacturing. - Knowledge of digital thread, digital twin, and model-based engineering. - Experience in developing critical support models for large-scale automation or factory modernization programs employing automation and robotics, IIOT, Data Analytics and visualization, Artificial Intelligence (AI) and Machine Learning (ML) while ensuring connected and safeguarded systems holding sensitive manufacturing data are safeguarded and cyber threats are mitigated. - Experience with process optimization, supply chain management to integrate digital tools and experience with simulation and modeling tools to test scenarios and optimize processes. - Financial accountability and management of a large multimillion dollar annual operating budget, estimating, forecasting and managing critical and strategic investments for the business unit. - Proven ability to lead enterprise transformation across multiple manufacturing sites.
Experience integrating IT and operational technology (OT). - Experience delivering regular executive-level briefings and effective communication across all levels of the organization.
- Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
- Relocation Eligibility - This role will be hybrid with more than 50% travel, relocation will be discussed with the preferred applicant if necessary, and proximity to one of the 3 major US Factory sites in MA, AZ, or TX is preferred. Please note that we will be considering the best applicant for this critical role and further discussions about the work location and travel schedule will be conducted at the proper time.
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:
Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader. Frequent travel to multiple US Sites will be required (50%) for this role, so proximity to one of our major factory site locations in MA, AZ or TX is preferred, but not mandatory.
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 employee's personal responsibility.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select 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 186,200 USD - 353,800 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 candidate's 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 company's 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.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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