Senior Master Data Engineer, Supply Chain

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI‑powered operating system that turns thousands of data streams into a realtime, 3D command and control center.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting‑edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

The Senior Supply Chain Master Data Engineer, (internally known at Anduril as Senior Master Data Analyst, Supply Chain) will play a crucial role in maintaining the integrity, accuracy, and completeness of key supply chain data within our organization. The ideal candidate will be responsible for the centralized governance and control of critical supply chain master data, including supplier vendor records, commodity codes, part lead times, and contractual information.

This role will ensure that high‑quality data is available to support supply chain operations, analytics, and decision‑making processes.

• Establish and maintain governance for supply chain master data, ensuring data integrity across supplier records, part information, and contractual data
• Partner with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
• Collaborate with procurement, logistics, and supply chain teams to standardize and classify commodities and parts with appropriate category codes
• Monitor and manage the master data lifecycle, from creation to retirement, ensuring adherence to data standards and policies
• Analyze supplier performance data to identify trends, discrepancies, and opportunities for improvement
• Support the maintenance of contractual data, including Non‑Disclosure Agreements (NDAs) and Master Service Agreements (MSAs), ensuring that documentation is current and accessible
• Implement and maintain data control mechanisms to prevent unauthorized access or data corruption
• Coordinate with IT and systems teams to ensure that the supply chain data infrastructure meets the needs of the business and is aligned with data governance protocols
• Assist in the development of training materials and procedures related to master data management and ensure users are trained on data‑related best practices
• Conduct regular data audits and cleanup activities to maintain high data quality standards
• Support supply chain analytics and reporting by providing accurate and timely data extracts and insights
• Serve as a point of contact for data‑related queries and issues within the supply chain function
• Develop and maintain documentation for data governance processes and data dictionaries
• Participate in cross‑functional projects to enhance supply chain systems and processes with a focus on data quality and usability
• Contribute to the continuous improvement of data management strategies, including the adoption of new technologies and methodologies for data analysis and visualization
• Liaise with vendors and external partners to ensure that external data feeds and exchanges are accurate, timely, and aligned with internal data standards

• Bachelor’s degree in supply chain management, data analytics, or related field
• 8+ years of experience in supply chain data engineering within the aerospace, defense or related manufacturing industry
• Ability to relocate, if not already local to be onsite in Costa Mesa, CA

• Master’s degree in data analytics, supply chain management, or related field
• Proficiency in data visualization and reporting tools such as Tableau, Power BI, or similar
• Proficiency in data analysis tools (e.g., Excel, SQL, Python, R), data warehousing, and supply chain intelligence platforms
• Strong analytical and problem‑solving skills with the ability to interpret large datasets
• Knowledge of…