Director, Production AnalyticsActive

Anduril Industries
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The opportunity

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.

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.

What they're looking for

  • 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.