Director of AI

Azizi Developments; Dubai; On-site; AED 900,000 - 1,500,000; Full time

Job summary

Azizi Developments in the United Arab Emirates seeks a Director of AI to lead the company’s AI strategy, governance, and advanced analytics initiatives across real estate development functions. You will build an AI practice, drive enterprise AI projects, and partner with IT, Finance, and operations to scale AI capabilities and ROI.

The role focuses on establishing an AI Centre of Excellence, overseeing ML, NLP, and analytics platforms, and delivering high-impact business cases while championing

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Software Engineering, IT or closely related discipline.
• Master's degree in Artificial Intelligence, Data Science, Computer Science, or Technology Management is preferred.

Responsibilities

• Develop and execute the company's AI strategy, transformation roadmap, and implementation priorities.
• Establish an AI Centre of Excellence (CoE) to promote best practices, standardization, knowledge sharing, and responsible AI adoption.
• Advise senior management on emerging AI technologies, industry trends, investment opportunities, and potential business impact.
• Lead the design, development, deployment, and continuous improvement of AI-powered solutions across enterprise applications.
• Oversee AI assistants, enterprise chatbots, document intelligence, and workflow automation initiatives.
• Drive AI-enabled reporting, forecasting, and performance monitoring for portfolio and project outcomes.
• Build and lead a high-performing AI team and promote cross-functional collaboration across IT, data, and business teams.

Skills

AI Strategy

Leadership

AI Governance

Data Analytics

Project Management

Stakeholder Engagement

Education

Master's degree in AI/Data Science/CS

Bachelor's degree in CS/IT

Job description

We are hiring Director of AI

Azizi Developments is a leading UAE-based private real estate developer with a growing portfolio of landmark residential and mixed-use developments. Our corporate functions play a critical role in supporting the Group’s strategy, growth, governance and long-term business objectives.

Job Responsibilities

A. AI Strategy and Leadership

• Develop and execute the company's AI strategy, transformation roadmap, and implementation priorities in alignment with overall business objectives.
• Identify high-impact AI use cases across business units, departments, and project operations.
• Establish an AI Centre of Excellence (CoE) to promote best practices, standardization, knowledge sharing, and responsible AI adoption.
• Advise senior management on emerging AI technologies, industry trends, investment opportunities, and potential business impact.
• Develop business cases, investment proposals, budgets, and implementation plans for AI initiatives.
• Establish performance indicators to measure AI adoption, productivity improvements, cost savings, and return on investment (ROI).

B. AI Solutions and Implementation

• Lead the design, development, deployment, and continuous improvement of AI-powered solutions, including machine learning, generative AI, intelligent automation, and predictive analytics.
• Oversee the implementation of AI assistants, enterprise chatbots, document intelligence, knowledge management systems, and workflow automation.
• Identify opportunities to integrate AI capabilities into existing enterprise applications, including ERP, CRM, HRMS, project management, and business intelligence platforms.
• Drive the use of AI to automate repetitive tasks, improve processing accuracy, reduce manual intervention, and accelerate decision‑making.
• Evaluate and manage AI platforms, large language models (LLMs), cloud‑based AI services, and third‑party AI solutions.
• Ensure successful deployment of AI solutions through proof of concepts (PoCs), pilot projects, user acceptance testing, and controlled production rollouts.

C. Real Estate and Property Development Applications

• Implement AI‑driven solutions for project planning, construction progress monitoring, resource optimization, and project risk forecasting.
• Leverage predictive analytics to support property pricing, market demand forecasting, sales performance analysis, and investment decisions.
• Drive AI‑enabled lead scoring, customer segmentation, sales forecasting, and personalized customer engagement.
• Introduce intelligent customer service solutions for buyer inquiries, property information, booking support, and post‑sales services.
• Explore AI applications for property valuation, portfolio performance, leasing optimization, facilities management, and predictive maintenance.
• Apply AI to analyze project documents, contracts, tenders, technical specifications, reports, and other business‑critical information.
• Collaborate with relevant departments to identify opportunities for AI‑enabled reporting, operational planning, and business performance monitoring.

D. Data Strategy and Advanced Analytics

• Establish the data and analytics capabilities required to support reliable, scalable, and effective AI implementation.
• Collaborate with IT, data, and business teams to improve data quality, accessibility, consistency, and integration across enterprise systems.
• Oversee the development of predictive models, forecasting tools, analytical dashboards, and AI‑powered decision‑support solutions.
• Define standards for data preparation, model development, validation, deployment, and monitoring.
• Promote the responsible use of internal and external data while protecting confidential business information and personal data.

E. AI Governance, Security and Compliance

• Establish AI governance policies, standards, procedures, and approval frameworks in coordination with IT, Information Security, Legal, Compliance, and other relevant departments.
• Ensure AI initiatives comply with applicable UAE laws, regulations, contractual obligations, data protection requirements, and company policies.
• Implement controls addressing data privacy, cybersecurity, intellectual property, model risks, bias, transparency, and accountability.
• Assess and manage risks associated with generative AI, third‑party AI platforms, automated decision‑making, and unauthorized use of AI tools.
• Establish procedures for human oversight, model validation, incident reporting, and ongoing risk assessment.
• Coordinate with Information Security teams to ensure appropriate access controls, data protection, and secure integration of AI solutions.

F. Team Leadership and Capability Development

• Build, lead, and develop a high‑performing AI team comprising relevant specialists such as AI engineers, data scientists, machine learning engineers, and AI solution architects.
• Define team structures, responsibilities, resource requirements, and professional development plans.
• Promote collaboration between AI, IT, data, cybersecurity, and business teams.
• Develop AI awareness and capability‑building programs for employees and managers.
• Lead change management for AI initiatives, including stakeholder engagement, communication, training and user adoption, so that AI solutions are embedded in day‑to‑day operations

G. Performance Monitoring and Continuous Improvement

• Define and monitor KPIs for AI initiatives, including productivity, process automation, cost efficiency, adoption, accuracy, service quality, and ROI.
• Monitor the performance, reliability, and business effectiveness of deployed AI models and applications.
• Conduct periodic reviews to identify opportunities for optimization, expansion, or retirement of underperforming solutions.
• Ensure AI projects are delivered within approved budgets, timelines, and quality standards.
• Provide regular management reports covering AI portfolio performance, benefits realization, risks, and future opportunities.

Educational Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Software Engineering, Information Technology, or a closely related discipline.
• Master's degree in Artificial Intelligence, Data Science, Computer Science, or Technology Management is preferred.