Director, AI-Driven Property Operations Analytics

Greystar

North Carolina

On-site

USD 145,000 - 165,000

Full time

11 days ago

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Benefits offered by this job

Medical, dental, vision insurance
Paid time off & holidays
Housing discount for onsite team
6-week sabbatical after 10 years
401(k) with company match
Parental leave & fertility benefits
Employee Assistance Program
Disability & life insurance

Job summary

Greystar, a global real estate leader, seeks a Director of Decision Intelligence for Property Operations to lead an embedded analytics pod. You will shape problems, define delivery, and drive enterprise intelligence with AI-forward practices.

You’ll hire and grow the analytics team, set technical standards, and partner with Property Operations leadership to ensure measurable improvements and scalable platforms across the business.

Qualifications

  • 8+ years in analytics, analytics engineering, data science, or related field.
  • 3+ years leading teams.

Responsibilities

  • Lead the Property Operations Pod and shape its work.
  • Own delivery: sequencing, quality, and product impact.
  • Hire, develop, and retain analytics engineers on the pod.
  • Partner with Property Operations leadership to align roadmap.
  • Set AI and technical standards for the pod.
  • Operate as a peer to Property Operations leadership and report progress to senior leadership.
  • Drive data quality, governance, and enterprise integration.

Skills

Analytics leadership
SQL
Python
Data modeling
Leadership in analytics teams
Business partner with stakeholders
AI tooling fluency
Decision Intelligence
Cross-functional collaboration

Tools

Databricks
Power BI
Tableau
Qlik
dbt
Git & CI/CD

Job description

Greystar, a global real estate leader, seeks a Director of Decision Intelligence for Property Operations to lead an embedded analytics pod. You will shape problems, define delivery, and drive enterprise intelligence with AI-forward practices.

You’ll hire and grow the analytics team, set technical standards, and partner with Property Operations leadership to ensure measurable improvements and scalable platforms across the business.

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