Master Data Management Analyst

Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production. Purpose Divergent is a technology company, based in Los Angeles, on a mission to revolutionize manufacturing with its proprietary Divergent Adaptive Production System (DAPS™). We automate the design, manufacture, and assembly of complex structures using non-design specific software, additive manufacturing, and robotic assembly. We actively work with major Automotive OEMS and Aerospace Primes globally, addressing the automotive, aerospace, aviation, transportation, and agricultural industries. We are seeking a talented and experienced Master Data Management Analyst to join our team. In this role, you will be responsible for establishing and executing data governance practices while maintaining high-quality, reliable master data across enterprise systems. You will partner cross-functionally with Business Development, Data, Operations, Productions, and Engineering teams to define data standards, enforce governance rules, and ensure alignment of master data across ERP, PLM, MES, and other downstream platforms. The role will support and help shape the future-state ownership model for key data domains including items, vendor, customers, and operational data by partnering with stakeholders to assess current processes, identify gaps, and build the case for centralized master data management. You will contribute to data standardization efforts, naming conventions, and critical data quality controls while helping guide the organization toward scalable governance practices. This role will report to the Senior Manager, Data Process Management. The ideal candidate is self-motivated, independent, detail-oriented, hands-on, and able to respond quickly in a fast-moving environment. We value leadership skills and those who conduct all activities with the highest level of integrity. The Role Evaluate current-state master data processes and identify gaps, risks, and opportunities to improve data quality, consistency, and governance across enterprise systems. Support the evolution of master data management capabilities by contributing to frameworks, operating models, and recommendations that enable future centralization of key data domains. Drive data quality initiatives by establishing validation rules, monitoring critical attributes, and managing exception reporting to improve accuracy and consistency. Manage and support data governance intake and workflow processes, ensuring proper tracking, approvals, and visibility of data-related requests and issues. Develop and maintain data governance artifacts including data dictionaries, attribute definitions, naming conventions, and documentation repositories to support transparency and standardization. Enable reporting and decision making by monitoring dashboards, metrics, and insights that highlight risks, trends, and opportunities for continuous improvement across the organization. Basic Qualifications Ability to lawfully access information and technology that is subject to US export controls Bachelor’s degree in related fields such as Information Systems, Operations Management, Supply Chain, or Data Analytics. 4+ years of experience in Master Data M ... (truncated, view full listing at source)