Data Product Enablement Specialist

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.

ABOUT THE JOB

Anduril is building the future of defense technology, and a critical component of this mission is a trusted, unified, and intelligently structured data foundation that fuels aggressive AI‑driven innovation. We are seeking an accomplished and passionate Data Product Enablement Specialist to champion the adoption and effective utilization of our enterprise semantic layer. Reporting to the Master Data Management (MDM) team, this pivotal role will act as a critical bridge between business intelligence needs and technical data solutions, actively shaping the semantic layer’s development and empowering Anduril’s diverse teams, from data scientists and application developers to business analysts, to leverage it for rapid application building, advanced analytics and AI initiatives.

WHAT YOU'LL DO

Contribute to Semantic Layer Design, Data Definition & Governance: Actively participate in the design and definition of the enterprise semantic layer, collaborating with Data Architecture, Data Platform, MDM and business teams. This includes providing prioritization guidance on the development of the golden record based on business need, advising on semantic model structures, critical attributes on data entities, data relationships and business logic within Anduril’s Ontology. Partner with SMEs to build comprehensive data dictionaries and inventories. As a key member of the MDM CoE, contribute to the development and enforcement of data governance policies and data quality standards, while continuously gathering user feedback and collaborating closely with MDM, Data Platform teams and relevant platform product teams (e.g., Palantir Foundry) to prioritise and implement semantic layer enhancements. Champion Semantic Layer Adoption & Operational Enablement: Lead the charge for semantic layer adoption, acting as the primary advocate and subject matter expert for all user personas. This includes designing and delivering comprehensive enablement programs (workshops, bootcamps, office hours, hackathons, documentation and learning resources) and managing day‑to‑day operational workflows like routing complex issues, triaging support questions and overseeing user access provisioning and security group management in close collaboration with InfoSec and Compliance. Create Intuitive Learning Resources & Decentralise Support: Develop and maintain high‑quality training materials, documentation, best practices guides and reusable usage patterns to empower users for self‑service data consumption. Identify, cultivate and equip power users across business domains to serve as local semantic layer champions, accelerating peer‑to‑peer learning and reducing reliance on centralised support. Build a scalable enablement ecosystem where knowledge compounds organically across teams. Consult & Facilitate AI‑Driven Solutions: Provide guidance and direct support to data scientists, application developers and business analysts on how to effectively query, integrate with and maximise value from the semantic layer. Directly enable development teams by showcasing optimal methods for consuming semantic/gold layer data. Translate & Evangelise Strategic Value: Communicate the strategic value and practical benefits of the MDM‑fueled semantic layer to diverse audiences, from engineers to executive stakeholders, clearly articulating how it accelerates innovation and ensures data trust, aligning with business objectives and IPO readiness.

REQUIRED QUALIFICATIONS

Minimum of 6 years of progressive experience in Data Enablement, Data Analytics, Data Architecture or Data Product roles, with a strong focus on user empowerment and semantic layer design. Exceptional ability to operate as a bridge between business and technical teams, translating complex business problems into clear data requirements, semantic model specifications and data dictionary definitions that directly shape the enterprise golden record and ontology. Proven hands‑on experience leveraging data platforms for data modelling, governance and consumption patterns. Proven experience with Master Data Management principles and their application in building trusted data foundations, including data quality, governance, stewardship and data lifecycle management. Familiarity with modern data platforms and tools (e.g., SQL, Python, Tableau, data modelling) and their integration points with semantic layers. Demonstrated experience designing, developing and delivering engaging technical training programmes, workshops and hackathons, with a track record of driving adoption and building communities of practice. Excellent communication, presentation and stakeholder management skills, capable of articulating complex data concepts as clear actionable insights for diverse audiences. Understanding of AI/ML concepts and how semantic layers facilitate feature engineering and model development. Familiarity with data governance, metadata management, data lineage and user access management as they pertain to data trust, security and compliance (e.g., ITAR, CUI).

PREFERRED QUALIFICATIONS

Experience in highly regulated industries (e.g., defence, aerospace). Direct experience integrating semantic layers with LLM agents or Digital Twin platforms. Certification in relevant data platforms (e.g., Palantir Foundry, Databricks). Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems or a related field. US Salary Range

$129,000 — $171,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills and/or business considerations. Highly competitive equity grants are included in the majority of full‑time offers and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top‑tier benefits for full‑time employees, including competitive health, recovery and wellness benefits. #J-18808-Ljbffr Anduril