Develop and execute a comprehensive AI and automation strategy aligned with business objectives across all functional areas and real estate asset classes.
Lead cross-functional teams to identify, prioritize and implement AI use cases that deliver measurable business value.
Oversee integration of third-party AI tools and platforms with existing real estate management systems.
Track and report on AI adoption rates, user satisfaction and operational efficiency gains.
Negotiate contracts and manage budgets for AI technology investments and implementations.
Advocate for AI adoption throughout the organization, educating stakeholders on benefits and addressing concerns or misconceptions.
Lead the integration of AI solutions into existing enterprise platforms, ensuring seamless connectivity and functionality.
Foster a culture of innovation, continuous learning and responsible AI development.
Collaborate with legal, compliance, and risk management teams to address AI-related regulatory and ethical considerations.
Build, lead and mentor a high-performing team of AI and data engineers, data scientists, automation specialists, and technical experts.
Partner with executive leadership to integrate AI initiatives into long-term strategic planning.
Establish KPIs and metrics to measure the effectiveness and ROI of AI and automation initiatives.
Develop and deliver training programs to upskill teams on AI tools and automation platforms.
Manage change initiatives related to AI implementation, ensuring smooth transitions and user adoption.
Create professional development programs and career progression paths for team members.
Monitor AI performance metrics, address biases and maintain transparency in AI-enabled processes across the organization
Collaborate with IT teams to ensure AI systems meet security, compliance and performance requirements
Establish best practices for AI model training, optimization, and continuous improvement
Own and govern the enterprise data platform, ensuring data quality, accessibility, and compliance.
Generate regular reports on AI performance, cost savings and business impact for executive leadership.
Facilitate communication between AI/technology teams and business units across all functional areas.
Ensure interoperability between AI solutions and existing property management, financial and operational systems.
Manage team performance, conduct regular reviews and provide coaching and feedback.
Establish AI governance frameworks, ethical guidelines and responsible usage policies to ensure compliance with legal and regulatory standards.
In partnership with the Software Development team, oversee the design, development and deployment of AI agents and machine learning models for specific business processes.
Evaluate, select and manage relationships with AI technology vendors and service providers.
Conduct post-implementation reviews and continuous improvement assessments.
Develop business cases and ROI analyses for new AI investment opportunities.
Stay current with emerging AI technologies and assess their potential application to real estate operations.
Build and maintain scalable AI infrastructure and data pipelines to support real estate operations across multiple asset classes.
Establish hiring strategies to attract top AI and automation talent in the real estate technology space.
Requirements
python
aws
generative ai
yardi
leadership
mba
Industry Knowledge : Understanding of real estate operations across all asset classes, financial analysis, property valuation and market dynamics. Familiarity with real estate technology platforms such as Yardi, Argus, VTS, Funnel CRM.
Personal Qualities : Innovative mindset, collaborative approach, ethical foundation for responsible AI development and commitment to continuous learning and measurable business results.
Experience : 8-10 years in leadership roles with 5+ years managing technical teams and enterprise AI implementations. Real estate or asset management experience preferred.
Leadership Skills : Proven ability to lead cross-functional teams, drive organizational change and communicate complex AI concepts to all stakeholder levels. Strong strategic thinking and project management capabilities.
Technical Expertise : Deep knowledge of Generative AI models, ML algorithms, NLP, computer vision and predictive analytics. Proficiency in Python, R, SQL. Experience with cloud platforms (AWS, Azure, GCP) and enterprise system integration.
Education : Degree in AI, Machine Learning, Computer Science, Data Science or related field required. MBA or real estate/finance degree a plus.
Benefits
Holidays, Vacation & Sick Time
Health Insurance
Life & Disability Insurance
401(k) Plan with Employer Match
Wide Array of Voluntary, Employee-Paid Benefits to choose from including Critical Illness & Accident Insurance, Identity Theft Protection & Pet Insurance
Vision Insurance
Health Savings Account (HSA) & Flexible Spending Plans (FSA)
Matching Gift Program
Tuition Assistance
Dental Insurance
Parental Leave
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
Information not given or found
Company
Overview
30 Million+ sq ft
Total real estate managed
The company manages over 30 million square feet of commercial, office, retail, and residential properties across major metropolitan areas.
Specializes in managing and investing in real estate properties.
Primarily focuses on commercial assets including office buildings, retail spaces, and residential properties.
Partners with institutional investors to deliver value through strategic acquisitions and management.
Known for repositioning and revitalizing underperforming assets to maximize long-term returns.
Has a strong reputation with deep industry expertise and long-standing relationships with tenants and investors.
Achievements include successful large-scale, mixed-use developments in major metropolitan areas.
Culture + Values
Challenge our employees to bring their best thinking and ideas to the forefront every day.
Provide an inclusive environment that encourages our people to excel in their work, collaborate and connect with each other, and forge strong connections with the communities in which we operate.
Entrepreneurial environment rewards innovation and action.
Employees are encouraged to take initiative and given the support to have an immediate, positive impact.
Steadfast, measured growth ... fostering growth in our organization, our lines of business, and most importantly, each and every employee.
A tradition of community involvement ... supporting our communities is both good citizenship and good business.
Environment + Sustainability
100% reduction by 2050
Operational Emissions Target
Aims to achieve zero operational emissions by 2050, with an interim target of a 50% reduction by 2029 from the 2019 baseline.
28.3% reduction in 2022
Energy Efficiency Achievement
In 2022, the company achieved significant reductions in energy use, GHG emissions, water consumption, and waste diversion compared to the 2019 baseline.
50% waste diversion
Waste Management Goal
Achieved a 50% diversion of generated waste from landfills, meeting the target ahead of schedule in 2024.
$9.8M energy savings
Energy Monitoring Impact
Accumulated $9.8 million in energy savings through real-time energy monitoring as of 2022.
Committed to monitor 90% of managed energy spend via real-time monitoring within five years
On-site solar energy program launched in collaboration with tenants
245 properties with ENERGY STAR®, LEED or BOMA 360 certifications as of 2023
Inclusion & Diversity
Partnerships with industry groups introducing women and minority college/MBA students to real estate careers
Targeted development programs for women and minority professionals
Employee learning forums on diversity, unconscious bias and inclusive culture
RMR Leans In: dialogue forums on women’s workplace issues, mentoring/sponsorship
Accelerated Women in Leadership Program: training on unconscious bias, work‑life integration, negotiation skills