Principal, Workplace Portfolio & Analytics

Workday

Pleasanton, CA, USA
Base: $158,600 - $238,000 usd (pleasanton); base: ...
Hybrid (flexible schedule with at least 50% of time spent in-office or field)
10+ years data analysis experience
Corporate real estate expertise
Financial modeling and ai application
Workday is seeking a Principal for Workplace Portfolio & Analytics to provide strategic insights and recommendations for optimizing their global real estate portfolio using data analysis and financial modeling. The ideal candidate will have significant experience in corporate real estate and data-driven decision-making, combined with strong collaboration skills. This role offers flexibility in work arrangements and a supportive company culture focused on integrity and shared enthusiasm

Job Summary

  • This role leverages AI, financial modeling, and market data to optimize the global real estate portfolio and drive better financial outcomes.
  • The successful candidate will partner with FP&A and Lease Transactions teams to advise on complex occupier engagements and landlord negotiations.
  • Workday offers a flexible work approach requiring at least half of the time in-office or in the field each quarter.

Matching Summary

Match Score: 85

Workday is seeking a Principal for Workplace Portfolio & Analytics to provide strategic insights and recommendations for optimizing their global real estate portfolio using data analysis and financial modeling. The ideal candidate will have significant experience in corporate real estate and data-driven decision-making, combined with strong collaboration skills. This role offers flexibility in work arrangements and a supportive company culture focused on integrity and shared enthusiasm.

Salary

Base: $158,600 - $238,000 USD (Pleasanton); Base: $134,000 - $238,000 USD (Other US locations); Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants

Skills & Requirements

Must-have

  • 10+ years data analysis experience
  • Corporate real estate expertise
  • Financial modeling and AI application
  • Stakeholder management skills
  • Global real estate strategy knowledge

Nice-to-have

  • Exceptional attention to detail
  • Cross-functional collaboration abilities
  • Data-driven decision making mindset
  • Complex dataset translation skills

Key Requirements

  • Bachelor's degree in Business, Real Estate, Finance, or related quantitative field
  • At least 10 years of experience in data analysis or corporate real estate
  • Strong analytical rigor and ability to manage large datasets

Work Rights

Not specified

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