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Salary: USD 120,000 - 175,000 / annual
Anduril Industries is a defense technology company transforming U.S. and allied military capabilities through advanced technology. The company operates a 10M sq ft real estate portfolio spanning R&D labs, manufacturing hubs, and offices worldwide, powered by Lattice OS, an AI-powered operating system for command and control.
The Growth Strategy Associate will join the Strategic Real Estate planning team, reporting to the Director of Strategic Real Estate. This role focuses on building and running data models that forecast space needs based on headcount and program plans, turning complex organizational data into actionable real estate strategy.
Key responsibilities include:
- Building and maintaining quarterly portfolio forecasts by pulling headcount and program plans from Finance, Corporate Operations, and business divisions, producing 5–10 year outlooks by division, workforce type, and region
- Tracking plan vs. actual changes across forecast versions and explaining variances
- Forecasting office, R&D, and production space demand against current and committed supply, sizing gaps by market and year
- Modeling scenarios including program wins/losses, M&A, and relocations
- Building and maintaining utilization metrics (SF per head, seat ratios, cost per seat, production space relative to output) and investigating outlier sites
- Collaborating with Talent and People teams on hiring velocity, workforce mix, and in-office patterns to inform location strategy and site timing
- Extending the planning data pipeline in Palantir Foundry using Python and SQL with version-controlled datasets and automated validation
- Building LLM-based tools and agents to automate data extraction, reconciliation, analysis, and slide production
- Preparing slides and memos for leadership reviews and presenting work to division leaders
This role is ideal for someone with a data science or analytics background who wants to apply quantitative skills to real estate and corporate planning. Prior real estate experience is helpful but not required. The position requires hands-on experience using LLMs in production workflows.
Qualifications and Requirements:
- Bachelor's degree in a quantitative field (Data Science, Computer Science, Statistics, Economics, Engineering, Finance) or non-quantitative field with demonstrated technical ability
- 2–4 years of experience in data science, analytics, consulting, FP&A, capacity planning, or real estate
- Regular use of LLMs in work, including building with an API, agent framework, or automated workflow (required)
- Interest in data science demonstrated through work or personal projects
- Clear written and verbal communication with non-technical stakeholders
- Ability to travel up to 10%
- U.S. citizenship required; eligibility for security clearance preferred
Preferred Skills:
- Experience with Palantir Foundry, Databricks, Snowflake, or dbt
- Background in forecasting methods (time series, Monte Carlo, sensitivity analysis)
- Exposure to real estate, workforce planning, or manufacturing operations
- Comfort building financial models in Excel
- Familiarity with Git and code review
