Real Estate Strategic Planning Lead

Databricks · Mountain View, California; San Francisco, California · Facilities · listed June 29, 2026

The shape of it

Seniority
Senior
Experience asked
7+ years
Where
Not stated
Stated pay
$144,500 – $198,650 USD
Requirements listed
10
Length
718 words

In the posting’s own words

Databricks is seeking a Real Estate Strategic Planning Lead to join our Real Estate & Workplace Services (REWS) team. Reporting to Global Real Estate Strategy & Transactions, this highly visible and impactful role will be responsible for portfolio planning, scenario planning, and portfolio optimization across Databricks’ global real estate portfolio. The role will support executive decision-making through strategic analysis, financial modeling, and business case support to inform key real estate decisions.

What it asks for · 10

  • Bachelor’s degree in Real Estate, Finance, Economics, Business Administration, or a related field
  • 7+ years of experience in a combination of Real Estate, Finance, Strategy, Management Consulting, or related fields with a track record of success
  • Excellent analytical skills, including financial modeling, forecasting, portfolio analysis, and scenario planning
  • Exceptional problem-solving skills with demonstrated ability to structure complex problems and develop solutions
  • Strong presentation, verbal, and written communication skills
  • Ability to manage multiple high-visibility projects simultaneously in a fast-paced environment
  • Experience working in a results-driven, solutions-oriented environment with competing priorities
  • Strong collaboration skills and ability to work effectively across cross-functional stakeholders
  • Advanced proficiency in Google Sheets, Excel, and presentation development
  • Experience with planning and reporting tools such as Anaplan, Tableau, Databricks, or similar platforms preferred

What the job covers

  • Partner with Finance and Real Estate Leadership to maintain REWS long-range portfolio plan
  • Create and maintain flexible portfolio models and manage complex scenario planning initiatives
  • Develop portfolio optimization recommendations aligned with business growth, financial objectives, and employee experience
  • Conduct financial, operational, and portfolio analyses to support strategic real estate decision-making
  • Support development of executive-ready business cases, presentations, and strategic recommendations
  • Translate complex portfolio tradeoffs into clear, data-driven insights and actionable recommendations
  • Develop and maintain recurring portfolio reporting, dashboards, and key performance metrics
  • Conduct ad hoc analyses and decision support for high-priority REWS cross-functional initiatives
  • Partner with Finance, Workplace, People, IT, and Real Estate stakeholders globally to support portfolio planning initiatives
  • Help establish scalable planning frameworks, reporting standards, and governance processes as Databricks continues to grow

Degree language

  • Bachelor’s degree in Real Estate, Finance, Economics, Business Administration, or a related field

Tools and skills named

Data
  • Databricks2×
  • Tableau
Operations & finance
  • Excel
  • Financial modeling
Ways of working
  • Cross-functional2×
Go to market
  • Forecasting

Words the posting leans on

  • portfolio8×
  • planning5×
  • real estate5×
  • experience4×
  • finance4×
  • skills4×
  • support4×
  • business3×
  • complex3×
  • develop3×
  • financial3×
  • maintain3×
  • presentation3×
  • recommendations3×
  • reporting3×
  • analyses2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.