Lightstone is seeking to leverage technology to drive smarter decision-making, operational efficiency, and value creation across its diverse real estate portfolio, including residential, hospitality, commercial, and retail sectors, by integrating artificial intelligence across its business functions.
Requirements
- Strong understanding of machine learning, natural language processing, and data visualization as applied to business strategy (not necessarily hands-on coding).
- Familiarity with real estate financial modeling, acquisitions, and asset management processes.
- Proven track record of leading AI or data-driven projects from strategy through implementation.
- Experience with AI platforms, technology vendors, and consultants.
- Understanding of data analytics and data science concepts.
- Experience with data visualization tools and techniques.
- Strong technical skills, with the ability to translate technical concepts into business value.
Responsibilities
- Strategic AI Roadmap: Develop and execute a comprehensive AI strategy aligned with company objectives in acquisitions, development, asset management, leasing, property management, and corporate support functions.
- Data & Insights: Partner with data teams to structure and leverage internal and external data sources (market data, tenant behavior, construction costs, ESG metrics, etc.) for predictive analytics and decision support.
- Operational Efficiency: Identify opportunities to streamline workflows (lease analysis, underwriting, reporting, valuations, due diligence, etc.) through AI and automation tools.
- Investment & Market Analysis: Implement AI models to improve deal sourcing, market forecasting, risk assessment, and portfolio optimization.
- Vendor & Tool Selection: Evaluate, recommend, and oversee partnerships with AI platforms, technology vendors, and consultants.
- Change Management: Educate and train cross-functional teams on AI capabilities, adoption, and ethical considerations.
- Governance & Compliance: Ensure AI initiatives adhere to industry regulations, data privacy standards, and responsible AI practices.
Other
- Bachelor’s degree in Business, Computer Science, Data Science, Real Estate, or related field; advanced degree preferred.
- 7–10+ years of professional experience in strategy, technology, data analytics, or consulting; experience in real estate strongly preferred.
- Excellent communication and change management skills; ability to translate technical concepts into business value.
- Entrepreneurial mindset with a passion for innovation and continuous improvement.
- Ability to build strong, trust-based relationships with key stakeholders across the organization.
