Data Product Enablement Specialist

Anduril Industries

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Costa Mesa, CA
Salary
$135,000–$196,000 / yr
Posted
172 days ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k
This role $166k
$120k $224k
below market most similar roles pay here above market

This role pays more than 51% of similar roles. Most pay $129,876–$214,200 — the blue band above. At the midpoint, this role pays about $166k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 901 open roles on FindRole.

Listed pay typically runs $166,000–$220,000 across 858 roles with salary data.

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At a glance

TL;DR · Data Product Enablement Specialist

The Data Product Enablement Specialist joins the MDM Center of Excellence to build a trusted, unified, and intelligently structured data foundation. This role focuses on data quality investigation, root-cause analysis, and governance operationalization. You will identify whether issues stem from source systems like ERP, PLM, CRM, or MES, or from transformation logic errors. Key responsibilities include maintaining MDM metadata within a semantic layer platform, defining golden record rules, and training business stewards on governance responsibilities. You will partner with analytics engineering teams to read SQL code and validate data lineage. Required skills include Master Data Management principles, data lineage, and metadata management. You will also translate complex data structures into product requirements for ontology objects and semantic models to ensure data trust and compliance.

What you'll do

  • Perform root-cause analysis to determine if data quality issues stem from source systems, process gaps, or transformation logic.
  • Maintain MDM metadata including RACI ownership, critical attribute definitions, and data quality SLAs within the semantic layer platform.
  • Validate data lineage and quality by reading analytics engineering SQL code and transformation logic.
  • Translate complex data structures from ERP, PLM, and MES systems into product requirements for ontology objects and semantic models.
  • Train functional data stewards on MDM governance, stewardship responsibilities, and the use of governance tooling.
  • Define technical requirements and business urgency for new platform capabilities to the semantic layer product team.
  • Develop training materials and documentation to enable self-service data quality monitoring for business users.
  • Identify and equip power users across business domains to serve as local MDM and data quality champions.

What we're looking for

  • 3+ years of experience in Master Data Management, Data Governance, or Data Analytics.
  • Experience writing basic queries to explore data, validate quality, and support root-cause investigations.
  • Ability to read and interpret transformation code written by analytics engineering teams.
  • Experience operationalizing data governance frameworks, including defining RACI ownership, establishing SLAs, and training business stewards.
  • Familiarity with MDM principles, including data standardization, taxonomy, metadata management, data lineage, and user access management.
  • Experience working across enterprise source systems such as ERP, PLM, CRM, and MES.
  • Excellent communication and stakeholder management skills for presenting investigations to technical and business audiences.
  • Experience in manufacturing, defense, or aerospace industries (preferred).
  • Experience integrating semantic layers with LLM agents or Digital Twin platforms (preferred).
  • Experience with Palantir Foundry, Databricks, or similar data platform ecosystems (preferred).

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