Data Product Enablement SpecialistActive$171K

Anduril Industries
Apply now

The opportunity

Anduril is building the future of defense technology, and a critical component of this mission is a trusted, unified, and intelligently structured data foundation. We are seeking a technically capable and investigative Master Data Management Analyst to ensure our master data is…

What you'll do

  • Operationalize MDM Governance & Enable Business Stewards: 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.

  • Contribute to Semantic Layer Design, Data Definition & Governance: 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.

  • Partner with Analytics Engineering on Data Validation: Work closely with analytics engineering teams by reading their SQL code, models, and transformation logic to validate that data flowing from source systems into the warehouse and semantic layer is accurate, complete, and consistent with MDM golden record definitions.

  • Inform Semantic Layer PM on Platform Gaps: When MDM governance workflows surface platform capability needs (e.g., new monitoring dashboards, alert mechanisms, metadata fields), define the technical requirements and business urgency and communicate them to the semantic layer platform team for roadmap prioritization.

  • Create Intuitive Learning Resources & Decentralize Support: Develop and maintain high-quality training materials, documentation, best practices guides, and reusable usage patterns to empower business stewards and users for self-service data quality monitoring and governance adherence. Identify, cultivate, and equip power users across business domains to serve as local MDM and data quality champions, accelerating peer-to-peer learning and reducing reliance on centralized support.

What they're looking for

  • Experience in manufacturing, defense, or aerospace industries with knowledge: of PLM, ERP, MES, and CRM data flows.
  • Experience integrating semantic layers with LLM agents or Digital Twin platforms.
  • Experience with Palantir Foundry, Databricks, or similar data platform ecosystems.