Head of AI & Data

Role Overview

The

Head of AI \& Data

will define and lead the enterprise AI and Data strategy, turning data into a strategic asset across the Group’s global property and hospitality portfolio. This role will champion AI-driven innovation in guest experience, predictive maintenance, revenue optimisation, sustainability analytics, and operational excellence.

Key Responsibilities

• Develop and execute the Group-wide AI \& Data strategy, including data governance, architecture, and monetisation frameworks.
• Build and scale AI solutions for key use cases: personalised guest experiences, dynamic pricing, smart-building optimisation, predictive asset maintenance, and sustainability reporting.
• Establish a centralised data platform (data lake / warehouse) with robust governance, quality, and ethical AI standards.
• Lead the AI Centre of Excellence, mentoring data scientists, AI engineers, and analysts while partnering with business units.
• Drive measurable business impact (e.g., revenue uplift, cost reduction, Net Promoter Score improvement) through AI pilots and scaled deployments.
• Collaborate closely with the IT team, other business units, and external AI/PropTech partners.
• Ensure compliance with global data privacy laws and responsible AI principles.
• Stay ahead of AI trends and translate them into Group advantage.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related quantitative field; Advanced certifications (e.g., Certified Data Scientist) advantageous.
• 10–15\+ years of experience in data \& AI leadership, with at least 5 years heading AI/Data functions in real estate, retail, or multi-national company groups.
• Hands-on experience delivering enterprise AI solutions with proven ROI.
• Strong background in data platforms, cloud analytics, and MLOps.
• Demonstrated success building high-performing data/AI teams in matrixed, multi-national environments.
• Excellent business acumen and communication skills; ability to influence C-suite stakeholders.
• Fluent in English and Chinese (Cantonese/Mandarin); Hong Kong / Asia-Pacific experience preferred.