Skillbridge - Data Transformation Manager

RTX•Tucson, AZ

5d•Onsite

About The Position

Raytheon’s Logistics Transformation Data Manager is responsible for leading a high-performing team that develops and deploys advanced data and reporting solutions to drive efficiency, cost savings, and strategic decision-making within the Logistics organization. This leader will oversee the integration of data analytics into logistics operations, ensuring a standardized and scalable approach to problem-solving across the enterprise. The ideal candidate is a visionary leader who can drive cross-functional collaboration, optimize processes through data-driven insights, and champion continuous improvement initiatives at the organizational level. Raytheon is a provider of SkillBridge Fellowship opportunities for transitioning service members to gain an in-depth understanding of the aerospace and defense business from some of the most respected leaders and engineers in the industry. SkillBridge fellows will not be eligible for any compensation during their fellowship, as they will continue to receive all military pay and benefits. Upon successful completion of this fellowship, you will be well prepared and encouraged to apply for open positions listed on our careers page.

Requirements

Typically requires a University Degree or equivalent experience and minimum 2 years of prior relevant experience, or An Advanced Degree in a related field
Experience with data governance, business intelligence (BI) solutions, predictive analytics, and/or statistical modeling.
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.

Nice To Haves

Ability to assess, design, and implement enterprise-wide process improvements with measurable ROI.
Previous experience working in a cross functional and/or bargaining unit environment
People management/leadership skills, experience engaging in a team
Experience applying Lean, Six Sigma, and other operational excellence methodologies to logistics and manufacturing environments.
Experience in leading digital transformation efforts that impact global supply chain networks.
Experience translating complex data into clear, actionable business strategies.
Strong negotiation and stakeholder management skills with the ability to drive consensus on high-impact initiatives
Strong executive presence with experience influencing senior-level stakeholders and driving enterprise change.

Responsibilities

Set the strategic direction for logistics data transformation initiatives, ensuring alignment with business objectives and enterprise goals.
Drive the adoption of advanced analytics, automation, and digital tools to optimize logistics performance.
Oversee the transformation of legacy data processes into scalable, technology-driven platforms that enhance logistics operations.
Establish and enforce data governance, ensuring accuracy, security, and consistency across systems.
Utilize Power BI, SAP, SQL, Python, Alteryx, and other advanced tools to enhance real-time decision-making and operational efficiency.
Develop and implement data-driven strategies to reduce cycle times, lower costs, and improve supply chain performance.
Identify opportunities to streamline workflows through automation and predictive analytics.
Serve as the key liaison between logistics, finance, supply chain, and IT teams to align data strategies with business priorities.
Present high-impact data insights to senior leadership, influencing enterprise-level decision-making.
Build consensus across stakeholders, ensuring data-driven initiatives translate into tangible business outcomes.
Oversee the creation and analysis of enterprise-wide logistics performance metrics, ensuring data integrity and relevance.
Lead the development of dashboards and automated reporting tools that provide real-time insights into logistics trends, risks, and opportunities.
Monitor and optimize inventory positioning strategies to improve supply chain responsiveness and cost-effectiveness.