- Hong Kong Hong Kong
全职 Section Head Data Services 工作, 薪水, Hays Hong Kong Limited Hong Kong 公司招聘中 - Ricebowl
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职位描述
岗位职责
Your new company
Your new company is a well-established and reputable banking group with a strong footprint across Asia.
Your new role
Partner with the Department Head to bridge complex data infrastructure with business innovation
Lead the design, delivery, and management of enterprise data services to enable scalable Data & AI capabilities
Collaborate closely with business and technology teams on user requirements, data onboarding, data mapping, UAT, and core banking system enhancements
Design and implement modern data architectures, including Data Lake, Data Warehouse, and real-time data pipelines
Drive the development and maintenance of data marts and ensure data is accessible, scalable, and high-quality
Define and execute the Data-as-a-Service (DaaS) strategy across the organization
Empower business users with self-service data tools for reporting, analysis, and insights generation
Develop data tagging frameworks leveraging both internal and external datasets
Partner with AI & Data Solution teams to ensure availability of high-quality, AI-ready datasets
Translate customer data (structured and unstructured) into actionable insights to support business and marketing initiatives
Establish and enforce data governance, security, and access control standards
Ensure compliance with regulatory requirements, internal policies, and risk management
What you'll need to succeed
Degree in Computer Science, Data Science, Statistics, or a related discipline
Minimum 10+ years of experience in data management, business analytics, or data warehousing within financial services
At least 5 years of leadership or team management experience
Proven track record of delivering large-scale, enterprise data projects end-to-end
Hands-on experience in data engineering, ETL processes, data onboarding
Familiarity with modern data tools and platforms such as Airflow, DBT, Kafka, Tableau/Power BI
Experience working in cloud environments (AWS, GCP, etc.)
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
Full-time,Permanent
Your new company is a well-established and reputable banking group with a strong footprint across Asia.
Your new role
Partner with the Department Head to bridge complex data infrastructure with business innovation
Lead the design, delivery, and management of enterprise data services to enable scalable Data & AI capabilities
Collaborate closely with business and technology teams on user requirements, data onboarding, data mapping, UAT, and core banking system enhancements
Design and implement modern data architectures, including Data Lake, Data Warehouse, and real-time data pipelines
Drive the development and maintenance of data marts and ensure data is accessible, scalable, and high-quality
Define and execute the Data-as-a-Service (DaaS) strategy across the organization
Empower business users with self-service data tools for reporting, analysis, and insights generation
Develop data tagging frameworks leveraging both internal and external datasets
Partner with AI & Data Solution teams to ensure availability of high-quality, AI-ready datasets
Translate customer data (structured and unstructured) into actionable insights to support business and marketing initiatives
Establish and enforce data governance, security, and access control standards
Ensure compliance with regulatory requirements, internal policies, and risk management
What you'll need to succeed
Degree in Computer Science, Data Science, Statistics, or a related discipline
Minimum 10+ years of experience in data management, business analytics, or data warehousing within financial services
At least 5 years of leadership or team management experience
Proven track record of delivering large-scale, enterprise data projects end-to-end
Hands-on experience in data engineering, ETL processes, data onboarding
Familiarity with modern data tools and platforms such as Airflow, DBT, Kafka, Tableau/Power BI
Experience working in cloud environments (AWS, GCP, etc.)
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
Full-time,Permanent
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