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Data and Artificial Intelligence Architect


The West Kowloon Cultural District Authority welcomes exceptional talent with a passion to realise the vision and mission of making the West Kowloon Cultural District a prime local and international destination for arts, culture and entertainment.
You Will Be Responsible For
formulating the enterprise data architecture and development roadmap to underpin the business strategic initiatives and overall Enterprise Architecture (EA) framework of WKCDA;
institutionalizing data governance, design principles, standards and operational models for the Authority;
facilitating the definition of ownership and stewardship of data and models, and collaborating on engagement and accountability mechanisms regarding data and AI technology adoption;
operationalizing data and AI architectural design principles and governance requirements into practical guidelines to steer technology and operational decisions;
recommending patterns and techniques used to design and build industry-scale data hub solutions for exchanging data with the business applications and data products within the Authority
identifying and providing expert advice on technical best practices, potential risks avoidance and mitigation measures with regard to data and AI related domains;
nurturing project team members on the value of data governance and establish best practices that guide technology decisions for the Authority;
ensuring data and AI architecture design artifacts are documented in a structured fashion, in adherence with the EA framework, to enable sharing and drive reuse;
keeping abreast of the latest trends in data and AI related technologies, ensure timely exploration and proactively communicate potential value cases; and
performing any other duties from time to time as the Authority may reasonably direct.
You Should
possess a recognised university degree or above in computer science, information systems or equivalent;
have a minimum 10 years of IT experience, with one year or more of experience in Data Architect-related roles being preferable;
have track record of active engagement with data governance practices in large-scale organisations;
have proven experience in architecting and developing large-scale data hub, big data analytics and/or other data service applications or software systems;
have practical experience in developing, implementing, or applying AI technologies or products for enterprise use cases;
possess practical experience in steering AI technology adoption, with a firm grasp of related applications and techniques, is highly preferrable;
be familiar with enterprise data modelling, data life cycle management and data-related technologies, including but not limiting to big data platforms, data analytics tools, data visualization and dashboards;
be well conversant with data governance and privacy protection legislations and policies;
have good understanding of IT governance and enterprise architecture frameworks, and preferably be certified with relevant qualifications such as TOGAF;
demonstrate the passion and ability to learn and adapt to new technologies;
exhibit strong leadership and communication skills with the ability to influence stakeholders up to the executive level;
be technically creative, analytical with a methodical approach in problem solving;
be able to build good relationships with different stakeholders across the organisation; and
be proficient in written and spoken English and Chinese.
For interested parties, please submit your application with detailed CV on or before following date. Applicants are encouraged to submit their applications as soon as possible. The review of applications will continue until post is filled.
Data collected will only be used for job application processing. Your data may be accessed by our appointed recruitment consultants who have agreed to keep confidence of all personal data in not less than the standards applicable to us. Applicants not being invited for interview within 4 weeks from the submission date may assume their applications unsuccessful.
All related information will be kept up to 24 months and all personal data will be destroyed afterwards.
For more information, please visit or contact:
Jason Wong /

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