Director, Production Analytics

Anduril Industries is a defense technology company transforming U.S. and allied military capabilities with advanced technology, powered by its Lattice OS AI-powered operating system. The Director, Production Analytics owns Production Analytics globally, with the goal that division leaders can tell whether they will hit rate before they miss it and that investment decisions are settled by data. This is a player-coach role: the leader tackles the hardest analytical problems personally while building a team to run several more in parallel. The role weighs analytical approach over domain familiarity, with manufacturing depth listed as preferred.

Responsibilities

Own Production Analytics globally across every site, product line, and production function, including Manufacturing Engineering, Manufacturing Operations, Supply Chain, Planning, and Warehousing / Material Management; Lead the hardest analytical problems on the company's most important programs, hands-on, and build a team to run more in parallel; Apply analytics to production's biggest problems and build analytics into the hardest two or three problems in flagship programs end to end; Shift production reporting from retrospective to leading so risk is surfaced before gates, and drive adoption of analytics; Turn proven capabilities into enterprise standards, supported products, standardized definitions, and consolidated reporting; Own the analytical side of ramps from low rate to high rate and keep an evidenced view of binding constraints as the company grows; Lead the consolidated analytics organization and its managers, building on and within the production process/team; Ensure business units own master data quality while the analytics team builds tooling that makes defects visible and cheap to fix; Produce numbers the business can trust, treating known metric defects as owned issues with dates

Requirements

10+ years in analytics, data, or quantitative operations, including 5+ years leading analytics or data teams, and experience managing managers or clear readiness to do so; A rigorous, teachable approach to ambiguous problems, including how to decide what to work on, structure an analysis, know when you're wrong, and install that method in a team; Genuinely hands-on, with strong SQL and a modern data stack; Demonstrated ability to identify the highest-value problem in a messy operational environment and solve it analytically; A track record of specific operational outcomes caused by your work, with the numbers, the program, and the skeptics named; Experience shipping analytics as supported products with real users, and retiring what they replace; Able to influence business unit and functional leadership peer-to-peer without authority, and to work credibly with a program team that starts out unconvinced; Must be eligible to obtain and maintain a U.S. security clearance; U.S. person status required per ITAR/EAR

Nice to have

Operational depth in manufacturing, supply chain, or planning, including fluency with routings, work orders, MRP exceptions, and cycle counts; Analytical ownership of a production ramp from low rate to high rate; Experience building an analytics function from a scattered starting point, consolidating people, standards, and tooling that previously sat under separate owners; Databricks and Palantir Foundry, dimensional modeling and semantic or ontology layers; High-rate or high-mix manufacturing, defense production, or another environment scaling volume fast

Benefits

Comprehensive, competitive benefits package (available at little to no cost to employees) covering health, recovery, and more; Highly competitive equity grants included in the majority of full-time offers