Enterprise AI and Data Governance
3 days ago
Our client is one of the leading organizations contributing to entertainment in Hong Kong. The Enterprise Architecture team is currently looking for a senior individual who will contribute to building Data and Artificial Intelligence governance at an enterprise level. Key Responsibilities Develop the enterprise data architecture and roadmap to support business strategies and the overall Enterprise Architecture framework. Establish data governance, design principles, standards, and operational models for the Authority. Lead the creation of the Governance Council for Data & AI governance strategy, including ethical principles, data ownership, privacy policies, and accountability mechanisms. Implement data and AI architectural design principles and governance requirements into practical guidelines for technology and operational decisions. Recommend patterns and techniques for designing and building large-scale data hub solutions for data exchange within the Authority. Provide expert advice on technical best practices, risk avoidance, and mitigation measures in data and AI domains. Educate project team members on the importance of data governance and establish best practices for technology decisions. Ensure data and AI architecture design artifacts are documented in a structured manner, adhering to the EA framework, to enable sharing and reuse. Key Requirements Degree in Computer Science, Information Systems, or equivalent. 10+ years of IT experience with data architect and governance exposure. Experience in large-scale data hubs, big data analytics, and AI technologies. Familiarity with enterprise data modeling, data life cycle management, and data-related technologies. Knowledge of data governance, privacy protection, and IT governance frameworks is a must. Strong leadership, communication, and problem‑solving skills. Proficiency in English and Chinese. Our client offers competitive compensation and benefits, as well as a dynamic and fast‑paced work environment. Interested parties, please send your CV to Ron Lee on or contact on for more details. For other available opportunities, please visit #J-18808-Ljbffr
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Senior Enterprise Data
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