# Director, Production Analytics at Anduril Industries

Anduril Industries is hiring a Director, Production Analytics. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/211eaf2a-5969-44bf-9ae9-3164c123bb9a?utm_medium=ai-agent).

AI Level 1, AI centrality 34 out of 100. Costa Mesa, California, United States.

## Details

- Company: [Anduril Industries](https://jobsbylevel.com/companies/anduril-industries)
- AI level: AI Level 1 (score 34 out of 100)
- Location: Costa Mesa, California, United States
- Posted: October 19, 2026
- Apply: https://jobsbylevel.com/go/211eaf2a-5969-44bf-9ae9-3164c123bb9a?utm_medium=ai-agent

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/director-production-analytics-at-anduril-industries-0a9eba

## Description

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 role The Director, Production Analytics owns Production Analytics globally: every site, every product line, and every production function across Manufacturing Engineering, Manufacturing Operations, Supply Chain, Planning, and Warehousing / Material Management. The ambition is not better dashboards. It is that a division leader can tell whether they will hit rate before they miss it, and that when we argue about where to invest, the argument is settled by data rather than by whoever presents best. ABOUT THE JOB This is a player-coach role. You will lead the hardest analytical problems yourself, on the programs that matter most to the company, and build a team that can run several more in parallel. You will be judged on what you accomplish, not on how you operate: whether a program hit rate that would otherwise have slipped, whether a constraint got cleared because we saw it coming, whether a number leadership used to make a real decision came from this team. We weigh approach over domain familiarity. The strongest analytics leaders we have are exceptional at how they attack a problem, even where they arrived without the functional background. Manufacturing depth is useful and listed below as preferred, but it does not substitute for analytical method, judgment about what matters, and the ability to drive a result through an organization. What you'll do Apply analytics to production’s biggest problems. Hold an evidence-backed view of what is worth the company's attention and in what order, rather than working a request list. Take the hardest two or three problems in Anduril's flagship programs and build analytics into them end to end, hands-on. Make the various business units in Anduril decide earlier. Shift production reporting from retrospective to leading: risk surfaced two months before the gate, not status recited on the day of it. Adoption is the deliverable. A correct dashboard nobody opens has failed. Turn what worked into the enterprise standard. Generalize proven capabilities into supported products, standardize the definitions the work proved out, and consolidate the duplicated reporting they replace. A standard that survives contact with a program running at rate is defensible. One written in a document is not. Answer what it takes to scale. Own the analytical side of a ramp from low rate to high rate, and keep a current, evidenced view of the constraints that actually bind as the company grows. Build the team and the foundation. Lead the consolidated analytics organization and the managers within it. Build on and in the production process/team rather than beside them. Hold the line that the various business units own master data quality while the analytics team builds the tooling that makes defects visible and cheap to fix. Your work should produce numbers the business can trust. Where a metric is known to be wrong, it is a defect with an owner and a date, not a caveat on a slide. Fix the data before building on top of it. Required qualifications 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. You can describe how you

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