Data & AI Governance Lead – Data Science & Governance
Summary
Lead enterprise-wide data and AI governance for a Hong Kong bank, setting standards, ensuring regulatory compliance, and driving data quality and AI use cases to enhance products and customer experience.
Overview
Join a leading bank in Hong Kong as Data & AI Governance Lead, taking a key role in defining and implementing the enterprise-wide data and AI governance framework. You will partner closely with the Head of Data Science & Governance to strengthen data quality, regulatory compliance and customer experience through better use of the bank's data assets and AI capabilities.
Key Responsibilities
Establish and maintain bank-wide standards for data and AI governance, covering policies, processes, metrics and data architecture. Drive data quality and data protection requirements, ensuring the bank's data and analytics capabilities meet regulatory and industry best-practice expectations. Develop and execute an enterprise data and AI governance roadmap, improving efficiency, control and consistency in how data and AI are managed across functions. Identify and promote new business opportunities and use cases leveraging data and AI to enhance products, operations and customer experience. Build strong relationships with external partners and internal stakeholders, ensuring data-related business needs are clearly captured and aligned with the governance framework. Lead, coach and develop team members, managing performance, engagement and turnover within the data governance function.
Requirements
University degree in Information Technology, Computer Science, Data Science or a related discipline. At least 10 years' experience, including 5+ years at managerial level, gained in financial services and/or Fintech organizations. Proven experience establishing and monitoring data and AI governance frameworks, including data quality and data protection practices. Strong knowledge of data and AI-related regulatory requirements, emerging trends and issues, plus in-depth understanding of banking business and local regulatory environment. Solid understanding of Master Data Management concepts, technology landscape and design principles in a banking context. Advanced analytical skills, able to visualize opportunities and risks from data and translate them into clear, actionable insights. Excellent communication and negotiation skills, with a proven track record of influencing senior stakeholders and leading teams. Result-oriented, able to deliver under pressure, with strong spoken and written English and Chinese (Cantonese and Mandarin).