Strategic Real Estate, Growth Strategy Associate

About the Role

Anduril's real estate portfolio spans 10M sq ft of R&D labs, manufacturing hubs, and offices globally. The Growth Strategy Associate will contribute to forecasting space needs and locations, and developing the data tools for this process. You will join the Strategic Real Estate planning team, reporting to the Director of Strategic Real Estate and collaborating with the Portfolio Planning & Strategy Lead.

Key Responsibilities

• Build and maintain the models for quarterly portfolio forecasts, integrating headcount and program plans from Finance, Corporate Operations, and business divisions.
• Reconcile conflicting data sources and produce 5–10 year outlooks by division, workforce type, and region.
• Track plan vs. actual performance across forecast versions and explain variances.
• Forecast demand for office, R&D, and production space against current and committed supply, identifying market and yearly gaps.
• Model scenarios including program wins/losses, M&A, and relocations.
• Develop and maintain utilization metrics (e.g., SF per head, seat ratios, cost per seat, production space relative to output) and investigate underperforming sites.
• Collaborate with Talent and People teams on hiring velocity, workforce mix, and in-office patterns to inform location strategy and site timing.
• Extend the planning data pipeline in Palantir Foundry using Python and SQL, ensuring version-controlled datasets and automated validation.
• Build LLM-based tools and agents for automating data extraction, reconciliation, analysis, and slide production, and facilitate team adoption.
• Prepare slides and memos for leadership reviews, and present your work to division leaders.

Requirements & Tech Stack

• Bachelor's degree in a quantitative field like Data Science, Computer Science, Statistics, Economics, Engineering, or Finance. A degree in a non-quantitative field is acceptable 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 your work, including building with an API, agent framework, or automated workflow.
• Demonstrated interest in data science through work or personal projects.
• Clear written and verbal communication skills for non-technical stakeholders.
• Ability to travel up to 10%.
• U.S. citizenship required; eligibility for security clearance is 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.

US Salary Range

$120,000 — $175,000 USD