Mandarin Oriental is looking for a Vice President Data, Analytics & AI to join our team at the Hong Kong Corporate Office.

Are you a master of craft? Do you thrive in a team that succeeds together, demonstrating integrity and respect while acting responsibly? Do you embrace a growth mindset? We invite you to become a fan of the exceptional. 

Mandarin Oriental is the award-winning owner and operator of some of the most luxurious hotels, resorts and residences located in prime destinations around the world, with a strong development pipeline. Increasingly recognised for creating some of the world’s most sought-after properties, the Group provides legendary service inspired by Asian heritage whilst representing the very cutting-edge of luxury experiences.

About the job

The VP of Data Analytics & AI will be a pivotal leader in shaping and executing Mandarin Oriental’s Data Analytics & AI vision, partnering with the business to drive impact.

The role will be responsible for leading the Analytics Team and building capabilities, driving alignment between analytics and related AI priorities and strategic objectives and ensuring the development and deployment of robust analytical solutions and capabilities across all business areas.

This role will serve as a critical bridge, translating complex business challenges into actionable outcomes and data-driven insights and will be a strong advocate and champion for Data Analytics & AI and support the education and transformation in Mandarin Oriental, to empower our colleagues with the power of data, and enable informed decision-making.

As a VP Data, Analytics & AI, you will be responsible for:

Data, Analytics & AI strategy:

• Define and own execution of Data, Analytics & AI strategy, in collaboration with the business and IT leaders, and organisation

• Owns and manages the strategic roadmap for Data, Analytics & AI across all business areas

Lead Mandarin Oriental Analytics team:

• Lead, build and develop a motivated Analytics core team of Data Scientists, Analysts and Data Engineers

• Lead innovation in data science practices e.g., building machine learning or AI models, improving existing models and other analytics

Analytics use case development and backlog management:

• Advise the business on analytics and AI use cases, opportunities and value

• Translate business problems into specific analytics and technology enabled solutions

• Advise business units on potential opportunities for improvement relating to emerging data trends and issues

• Interact with business leaders to understand their analytics and AI product and talent needs, and ambitions

• Agree on priorities to address in the backlog, and align with senior leadership

Analytics and AI projects delivery

• Manage delivery and governance of analytical projects and needs with different business areas

• Develop, oversee and communicate delivery goals, strategies, tactics, project plans, timelines, and key performance metrics to reach goals

• Proactively communicate progress of analytics and AI roadmap and escalate any roadblocks to senior leadership

Champion of data-driven decision making:

• Lead Mandarin Oriental’s transformation towards an analytically enabled organization

• Act as advocate and champion for analytics and AI

• Support the education and transformation in Mandarin Oriental, to enable informed decision-making.

Build analytics and AI capabilities across Mandarin Oriental:

• Collaborate with P&C to develop and drive the analytics and AI talent strategy and ensure the Analytics team’s capabilities to execute on roadmap

• Define and drive change activities around analytics and AI across MO to increase data literacy and capability to create value from Data, Analytics & AI

• Shape the hiring criteria and development programs of business leaders in collaboration with P&C to increase the level of analytical literacy across Mandarin Oriental

As a VP Data, Analytics & AI, we expect from you:

• 10+ years’ experience related to reporting, data and analytics, preferably with hospitality or luxury experience

• 5+ years’ experience in a director-level management role

• Strong understanding of emerging methodologies like Artificial Intelligence and its potential use cases to drive improvement

• Foundational knowledge of statistics, structured and unstructured data analysis, data visualization and machine learning

• Working knowledge and experience of modern data and analytics best practices around business intelligence, analytics and AI in a large Enterprise

• Knowledge leading the ideation & design of business intelligence and analytics use cases, and experience managing end-to-end delivery

• Proven ability to effectively prioritize across multiple business units

• Remarkable ability to communicate and translate analytics concepts successfully across engineers, data scientists and business stakeholders

• Strong leadership experience with proven ability to nurture and lead technical talent

• Team oriented, goals oriented, with proven track record in collaborating with multiple stakeholders

• Excellent interpersonal skills and strong verbal and written communications skills