Assistant Vice President

Job Description

Team Management:

• Supervise, mentor, and coordinate the work of a team of real estate analysts and researchers.
• Assign daily tasks, set priorities, and monitor performance to ensure timely and accurate output.
• Provide regular feedback, training, and development opportunities to team members.
• QC reports / periodicals authored by junior research members

Research Operations:

• Oversee the collection, validation, and analysis of real estate data including leases, sale, rents, construction status, and economic indicators.
• Ensure process adherence to standardized methodologies for data gathering and reporting.
• Maintain quality control across research deliverables including reports, dashboards, and presentations.

Market Intelligence & Reporting:

• Produce regular market research reports covering trends, forecasts, and competitive analysis across asset classes (residential, commercial, industrial, etc.).
• Collaborate with internal stakeholders (investment, development, acquisitions, and strategy teams) to provide actionable insights.
• Monitor key trends, regulatory changes, and economic factors affecting real estate markets.

Process Improvement:

• Identify and implement improvements in research tools, workflows, and data sources.
• Introduce automation or advanced analytics techniques to enhance team productivity and insight generation.

Stakeholder Engagement:

• Act as a point of contact for external data providers, consultants, and industry bodies.
• Present research findings to internal leadership or external clients when needed.

About You:

• Bachelors degree in Real Estate, Economics, Urban Planning, Finance, or a related field (Masters degree preferred).
• 12+ years of experience in real estate research or analytics, with at least 2-3 years in a team leadership role.
• Strong knowledge of real estate markets, data sources, and research methodologies.
• Proficiency in MS Excel, PowerPoint, and other research tools (e.g., REIS, PropEquity, Real Capital Analytics etc.)
• Experience with GIS, data visualization, or statistical software (e.g., Tableau, Power BI, R, or Python) will be an advantage.
• Excellent communication, organizational, and leadership skills.