Manager, Data Science & Analytics

Date Posted:

2025-10-01

Country:

United States of America

Location:

AZ201: RMS AP Bldg 801 1151 East Hermans Road Building 801, Tucson, AZ, 85756 USA

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance:

Secret - Current

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. 

Lifecycle Engineering (LCE) is responsible for ensuring our products are Safe, Reliable, Maintainable and delivered on time.  Life Cycle Engineering consists of multiple disciplines that support engineering, our program offices and our customers.  Our Life Cycle Engineering disciplines participate in the total life cycle of our products from conception to deactivation.  Our focus area is product support, including the following engineering disciplines:  Reliability, System Safety and Supportability.

Job Summary:

The Engineering Intelligence Analysis (EIA) Team supports Raytheon programs by pursuing synergies between the technical disciplines. Our responsibilities include providing the foundation for timely delivery of actionable data to our program customers, in addition to supporting the Engineering function by developing and/or maintaining software tools used for data analysis and tracking.

We are looking for a Manager, Data Science & Analytics to join our EIA team located in Tucson, AZ.

What You Will Do:

• Manage data integrity from field all the way through field failure resolutions (i.e., Deficiency Report (DR) closure)
• Manage data via software interfaces and query builders
• Execute advanced analysis on large data sets for purposes of trending, projections/predictive models, qualitative/quantitative metrics
• Practice expert-level knowledge of data/analytics tools such as Excel, Tableau, JMP, Structured Query Language (SQL) Query Builder, Business Objects (BOBJ) and Business Warehouse (BW).
• Be responsible for certain tools as the business owner of Failure Reporting, Analysis, and Corrective Action System (RFRACAS) and the cFRACAS Dashboard
• Engage with with Responsible Engineering Authorities (REAs) to address field failures, cause, and resolution
• Collaborate with Program Leadership regarding failure scenarios that warrant repair at program’s cost
• Ensure data accuracy and integrity before dissemination to internal and external customers
• Utilize advanced computer techniques like automation, bot creation, Artificial Intelligence/Machine Learning (AI/ML), prompt engineering
• Ideate and implement process improvement initiatives
• Mentoring and develop teammates  
• Collaborate and liaise with other system administrators to address data transference between systems (e.g., PRISM, CABS, LOKI, etc.)

Qualifications You Must Have:

• Typically requires: A University Degree or equivalent experience and minimum 8 years prior relevant experience, or An Advanced Degree in a related field and minimum 5 years experience.
• Experience with managing information systems/databases, AI/ML, SQL, VBA, C++/Python/R or similar language.
• Experience in gathering, analyzing and/or presenting data.
• Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer:

• Experience with leading Process Improvement activities such as Failure Reporting, Analysis and Corrective Action (FRACA) or Root Cause and Corrective Action (RCCA), and experience with the Logistics and Operational Knowledge Interface (LOKI) system, SAP and PRISM
• Ability to lead and mentor teams, including excellent oral and written communication skills
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Ability to develop solutions to routine technical problems
• Leadership-orient