Head of AI & Data

Role OverviewThe 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 ResponsibilitiesDevelop 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.RequirementsBachelor’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.