Data Product Enablement Specialist

<div class="content-intro"><p>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.</p></div><h3>ABOUT THE JOB</h3> <p>Anduril is building the future of defense technology, and a critical component of this mission is a <strong>trusted, unified, and intelligently structured data foundation.</strong> We are seeking a technically capable and investigative <strong>Master Data Management Analyst</strong> to ensure our master data is accurate, governed, and trusted at the source. Reporting to the Master Data Management Lead, this role sits within the MDM Center of Excellence and is focused on data quality investigation, root-cause analysis, governance operationalization, and business enablement within the MDM domain.<br><br>You will be the person who assists in root-causing data quality issues, determining whether the problem is a source system issue (e.g., ERP, PLM, CRM, MES), process gap, or a transformation logic issue in the analytics pipeline. You will populate and maintain MDM metadata (RACI, ownership, SLAs, critical attributes) within our semantic layer platform in partnership with business domain stewards who own their data within their functional orgs while operating within MDM's governance framework. You will also partner with analytics engineering teams by reading their transformation code to validate data lineage and quality, ensuring what's built matches golden record rules and critical attribute definitions established through the MDM Center of Excellence. You will also contribute to the semantic layer's design and data definitions from an MDM perspective, ensuring that golden record standards, business definitions, and governance requirements are reflected in ontology objects and semantic models.</p> <h3>WHAT YOU'LL DO</h3> <ul> <li><strong>Operationalize MDM Governance & Enable Business Stewards:</strong> Populate and maintain MDM metadata within the semantic layer platform in partnership with business domain stewards, including RACI ownership fields, critical attribute definitions, data quality SLAs, and stewardship assignments. Establish realistic quality thresholds and monitor adherence, notifying responsible parties when metrics fall below acceptable levels. Train functional data stewards on what MDM governance means tactically for their domain, including their RACI responsibilities, how to maintain data quality at the source, what SLAs they are accountable for, and how to use governance tooling to self-monitor. Support the definition of golden record rules, critical attribute lists, and cross-domain governance standards through the CoE, helping drive alignment when competing definitions arise across business domains.</li> <li><strong>Contribute to Semantic Layer Design, Data Definition & Governance:</strong> Translate complex data structures (PLM, MES, ERP, Foundry, Databricks) into clear product requirements for ontology objects and semantic models from an MDM perspective, ensuring golden record rules, critical attribute definitions, and business glossary terms are accurately represented. Collaborate with SMEs to build comprehensive data catalogs.</li> <li><strong>Partner with Analytics