VP, Data and Analytics
Job Description
About Us
Perform Properties is a Blackstone Real Estate portfolio company focused on high-performing retail and office properties with People-Appeal - vibrant spaces where people actively choose to work, shop, and gather. With expertise in transactions, development, leasing, and management, the company oversees over 33 million square feet of retail and office properties across the U.S. Learn more: .
Role Summary
Our VP, Data & Analytics unlocks data-driven growth at the speed of natural language through AI-enabled execution across Perform Properties. An innovative architect with deep business literacy, the VP, Data & Analytics will lead our efforts to put data at the center of our Technology capabilities with a modern, performant and AI-ready data & analytics platform. This critical capability will serve a wide range of business functions, enabling Investments, Portfolio, Operations and Finance people to put AI, BI, Analytics and other emerging technologies to work for them every day – not just talk about the potential & possibilities.
This role reports to the Chief Technology Officer and is based in the office, 5 days a week.
Essential Job Functions
- Drive Data Architecture & Engineering excellence that actively reduces our Coordination Tax
- Build Data Modelling & Analytics capabilities to reduce our Time-to-Productivity
- Champion Artificial and Business Intelligence (AI / BI) capabilities through compelling next generation interactions (Visualization, Natural Language & Agentic) that reduce our Time-to-Insight
- Cultivate Data governance & stakeholder engagement that creates real shared ownership of our platform
- Model the successful use of AI as a capabilities & resource extension, not just a gimmick
- Develop individuals & teams of technologists in the Data & Analytics space as their leader
Qualifications and Technical Competencies
- 10+ years leading Data Science, Data Engineering, Analytics and/or AI / ML-focused teams
- 5-7 years managing agile projects (Scrum, Kanban, SAFe)
- 3-5 years managing people (direct reports, manager of managers)
- Demonstrable success working with modern data platforms (Databricks, Snowflake, BigQuery, RedShift, Synapse)
- Demonstrable success delivering AI / ML initiatives (Natural Language Processing, Predictive Modeling, Statistical Modeling)
- Advanced proficiency in common data engineering tools (R, Python, DBT, SQL, Azure Data Factory)
- Advanced proficiency in common visualization tools (Tableau, PowerBI)
- Bachelor’s Degree in Computer Science, Mathematics or relevant tertiary education
Benefits & Compensation
Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).
Base Salary Range: $225,00-$265,000. This represents the presently-anticipated low and high end of the Company’s base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience.
The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.
Closing
EEO Statement
Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email
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