Principal Affordability Data Analytics Engineer

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 Type:
DoD Clearance:
Secret Security Clearance Status:
Active and existing security clearance required on day 1.

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 freedoms, and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

Affordability at Raytheon is a systems-engineering-driven discipline focused on delivering the best value solutions across the full product lifecycle—from concept and design through production, sustainment, and retirement. Affordability integrates cost, schedule, technical performance, producibility, and sustainment into a decision framework aligned to the Raytheon RLPM (RTX Lifecycle Program Management) structure. Affordability ensures decisions are data-driven, support mission readiness, and comply with Defense industry requirements and constraints.

Affordability transforms complex engineering and operational data into clear cost insights that help programs meet customer expectations, reduce risk, and improve long-term value.

The Principal Affordability Data Analytics Engineer leads advanced statistical and lifecycle cost analyses supporting affordability modeling, cost credibility, and RLPM milestone reviews. The Principal Affordability Data Analytics Engineer develops analytic frameworks, identifies key cost drivers, and supports Modelers and Leads with high-confidence datasets. This is an onsite role located in McKinney, TX.

• Lead advanced analytics including multivariate regression, predictive modeling, and cost-driver decomposition.
• Develop analytical frameworks supporting RLPM phase reviews and affordability processes.
• Integrate multi-disciplinary data sources (engineering, operations, SCM, sustainment) for lifecycle insight.
• Identify fixed, variable, step, and learning-curve cost behaviors and their lifecycle implications.
• Produce analytical outputs supporting CRIs, trade studies, AoAs, and cost maturity assessments.
• Mentor earlier in career analysts in statistical techniques and affordability methods.

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations.
• Experience with statistical analysis, including multivariate regression, forecasting, and/or distribution modeling.
• Experience analyzing/ interpreting cost structures across design, production, and/ or sustainment phases.

• Experience supporting Cost Estimating Relationship (CER) development or parametric modeling inputs.
• Familiarity with DoD cost structures, reporting requirements, or acquisition frameworks.
• Experience analyzing production, supplier, or sustainment datasets within regulated…