Real Estate Strategic Planning Lead
Databricks
Mountain View, California; San Francisco, CaliforniaOtherLead / ManagerFull-time
Role at a glance
Lead strategic planning and optimization for Databricks' global real estate portfolio through financial modeling and executive analysis.
- →Maintain long-range portfolio plan with Finance leadership
- →Create flexible portfolio models and manage scenario planning
- →Develop portfolio optimization recommendations
- →Conduct financial and operational portfolio analyses
- →Support executive business cases and recurring dashboards
Who should apply
Professionals with a bachelor’s degree in real estate, finance, or business and at least seven years of experience in real estate strategy or finance should apply. Candidates must demonstrate expertise in financial modeling, scenario planning, and portfolio analysis. Strong communication skills and proficiency in Excel and presentation tools are essential for supporting executive decisions.
Skills & technologies
financial modelingscenario planningportfolio analysisexcelgoogle sheetsforecastingtableauanaplan
Full job description
As published by Databricks on their official careers page.
GAQ327R256
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
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.
The impact you will have:
- 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
What we look for:
- 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
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$144,500—$198,650 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Related roles
Biosafety Red Teaming Specialist
OpenAI
Remote · San FranciscoOtherMid-level$158.4K – $320K • Offers Equity
Biosafety Red Teaming Specialist at OpenAI — Remote · San Francisco. Mid-level other role on the Intelligence & Investigations team.
gorustawsrag
Workforce Program Manager, Global Affairs
OpenAI
Remote · San FranciscoOtherLead / Manager$252,000 – $280,000
Workforce Program Manager, Global Affairs at OpenAI — Remote · San Francisco. Lead-level other role on the Global Affairs team.
gorustawsrest
Government and Community Affairs Manager
OpenAI
Remote · San FranciscoOtherLead / Manager$170,000 – $190,000
Government and Community Affairs Manager at OpenAI — Remote · San Francisco. Lead-level other role on the Global Affairs team.
gorustawsrest
Program Manager, Outreach & Audiences
OpenAI
Remote · SingaporeOtherLead / Manager
Program Manager, Outreach & Audiences at OpenAI — Remote · Singapore. Lead-level other role on the Global Affairs team.
gorustawsrest
Threat Modeler, Preparedness
OpenAI
San FranciscoOtherMid-level$325K • Offers Equity
Threat Modeler, Preparedness at OpenAI — San Francisco. Mid-level other role on the Safety Systems team.
nodegorustaws
Technical Deployment Lead - UAE
OpenAI
Remote · Abu Dhabi, UAEOtherLead / Manager
Technical Deployment Lead - UAE at OpenAI — Remote · Abu Dhabi, UAE. Lead-level other role on the Model Deployment for Business team.
gorustawsllm