We are seeking a Technical Data Lead for a key player in the Hong Kong financial market who has strong experience in driving the development of data analytics capabilities on our enterprise data platform. This strategic role involves leading a diverse spectrum of data projects, including data ingestion, modeling, governance, and analytics tools.

Key Responsibilities:

• Oversee multidisciplinary teams and handle the complete lifecycle of data engineering projects, from initial concept to final implementation. 
• Work closely with business stakeholders to enhance data platform functionalities, prioritizing requirements based on business value and data risk mitigation. 
• Manage data initiatives by monitoring progress and identifying risks related to scope, timeline, and budget, in collaboration with business and technical teams. 
• Advocate for compliant and high-quality data usage on the enterprise platform by progressively delivering features throughout the data lifecycle, including access control, lineage, quality, and analytics. 
•  Supervise external data products and vendor integrations on the data platform. 
• Integrate cloud and open-source solutions to facilitate effective data management and governance. 
• Work with the data engineering team to make the best use of tools and resources, improving collaboration and efficiency in projects.
• Utilize hybrid project management methodologies, incorporating agile practices throughout the SDLC 

Requirements: 

• Degree in technology, engineering, or a related field. 
•  At least a decade of experience in IT development or project management, particularly in large financial organizations focused on data initiatives. 
• Proficient in SDLC methodologies, with a background in Agile practices and experience leading cross-functional teams. 
• Strong architectural knowledge with hands-on experience in software development and data technologies , including multi-tier service-oriented architecture, data modeling, and virtualization. 
• Experience with JupyterHub or similar data science platforms, including deploying multi-tenant architectures and working with AWS container orchestration tools.
• Familiar with data security and management tools.
• Experience in data management, governance, and quality standards. 
• Excellent communication and influencing abilities. 
• PMP, PRINCE2, or Agile certified are a plus.
• Proficiency in both Cantonese and English is required.

Interested parties, please click the apply button with your updated resume and salary details to [via CTgoodjobs Apply Now], or call 3653 5507.

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