Manager, Data Delivery & Management

CTF Life; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

CTF Life seeks a seasoned Data Platform Lead to own and advance our data platforms, pipelines, dashboards, and analytics solutions. You will ensure stability, scalability, security, and alignment with business priorities across enterprise environments.

You will lead a multidisciplinary team, manage vendors, define strategy and roadmaps, and partner with stakeholders to translate requirements into scalable data products, while embedding governance and resilience into delivery.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering or a related discipline.
• Minimum 8 years of relevant experience in data engineering, enterprise data platforms, BI, analytics, or data management with proven leadership experience.
• Strong experience in enterprise data platform delivery, production support, cloud migration, platform modernization, and data service management.
• Solid knowledge of data architecture and the end-to-end data lifecycle, including ingestion, integration, storage, transformation, modelling, consumption, and governance.
• Proficiency in written and spoken English and Chinese including Putonghua.

Responsibilities

• Lead the end-to-end delivery, support, maintenance, and enhancement of enterprise data platforms, data pipelines, databases, dashboards, reporting solutions, and data-related legacy systems.
• Manage the data portfolio, delivery roadmap, product backlog, priorities, resources, risks, issues, budgets, and dependencies to ensure quality delivery within agreed scope, timeline, and cost.
• Partner with business stakeholders to understand requirements and translate business needs into scalable data solutions, data products, technical specifications, and delivery plans.
• Define and maintain the data platform strategy, target architecture, technology roadmap, integration principles, and engineering standards.
• Embed data governance, data quality, metadata, lineage, privacy, security, access controls, documentation, and audit requirements into platform delivery and operations.
• Drive operational resilience through proactive monitoring, incident management, root-cause analysis, service improvement, disaster recovery readiness, and automation.
• Lead, coach, and develop a multidisciplinary team of data professionals, while coordinating internal, offshore, and vendor resources.
• Manage external vendors, service providers, system integrators, and technology partners to ensure deliverables meet quality, security, service, timeline, and cost expectations.
• Promote business adoption of modern analytics, business intelligence, self-service data, automation, and AI-enabled capabilities.

Skills

Leadership

Data architecture

Cloud platforms

Azure / Databricks

SQL / PySpark

Data governance

Stakeholder management

Automation

English & Chinese

Education

Bachelor’s degree in Computer Science, IT, Data Science, Engineering

Tools

Databricks

Azure Data Factory

Power BI

SQL

Job description

What the role is?

In this role, you will be responsible for ensuring that our data platforms, pipelines, analytics solutions, and related legacy systems are stable, scalable, secure, and aligned with business priorities.

• Lead the end-to-end delivery, support, maintenance, and enhancement of enterprise data platforms, data pipelines, databases, dashboards, reporting solutions, and data-related legacy systems.
• Manage the data portfolio, delivery roadmap, product backlog, priorities, resources, risks, issues, budgets, and dependencies to ensure quality delivery within agreed scope, timeline, and cost.
• Partner with business stakeholders to understand requirements and translate business needs into scalable data solutions, data products, technical specifications, and delivery plans.
• Define and maintain the data platform strategy, target architecture, technology roadmap, integration principles, and engineering standards.
• Embed data governance, data quality, metadata, lineage, privacy, security, access controls, documentation, and audit requirements into platform delivery and operations.
• Drive operational resilience through proactive monitoring, incident management, root-cause analysis, service improvement, disaster recovery readiness, and automation.
• Lead, coach, and develop a multidisciplinary team of data professionals, while coordinating internal, offshore, and vendor resources.
• Manage external vendors, service providers, system integrators, and technology partners to ensure deliverables meet quality, security, service, timeline, and cost expectations.
• Promote business adoption of modern analytics, business intelligence, self-service data, automation, and AI-enabled capabilities.

What the role is?

In this role, you will be responsible for ensuring that our data platforms, pipelines, analytics solutions, and related legacy systems are stable, scalable, secure, and aligned with business priorities.

• Lead the end-to-end delivery, support, maintenance, and enhancement of enterprise data platforms, data pipelines, databases, dashboards, reporting solutions, and data-related legacy systems.
• Manage the data portfolio, delivery roadmap, product backlog, priorities, resources, risks, issues, budgets, and dependencies to ensure quality delivery within agreed scope, timeline, and cost.
• Partner with business stakeholders to understand requirements and translate business needs into scalable data solutions, data products, technical specifications, and delivery plans.
• Define and maintain the data platform strategy, target architecture, technology roadmap, integration principles, and engineering standards.
• Embed data governance, data quality, metadata, lineage, privacy, security, access controls, documentation, and audit requirements into platform delivery and operations.
• Drive operational resilience through proactive monitoring, incident management, root-cause analysis, service improvement, disaster recovery readiness, and automation.
• Lead, coach, and develop a multidisciplinary team of data professionals, while coordinating internal, offshore, and vendor resources.
• Manage external vendors, service providers, system integrators, and technology partners to ensure deliverables meet quality, security, service, timeline, and cost expectations.
• Promote business adoption of modern analytics, business intelligence, self-service data, automation, and AI-enabled capabilities.

Who we look for?

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline.
• Minimum 8 years of relevant experience in data engineering, enterprise data platforms, business intelligence, analytics, or data management, with proven leadership experience.
• Strong experience in enterprise data platform delivery, production support, cloud migration, platform modernization, and data service management.
• Solid knowledge of data architecture and the end-to-end data lifecycle, including ingestion, integration, storage, transformation, modelling, consumption, and governance.
• Hands‑on exposure to cloud data platforms, preferably Microsoft Azure, and technologies such as Databricks, Azure Data Factory, Azure SQL, Synapse Analytics, Microsoft Fabric, Power BI, Qlik Sense, SQL, Python, PySpark, ETL/ELT, data warehouses, data lakes, or Lakehouse architectures.
• Proven ability to manage projects, vendors, budgets, service levels, incidents, risks, and competing business priorities.
• Strong stakeholder management, communication, presentation, negotiation, analytical, and problem‑solving skills.
• Experience in the financial services or insurance industry, including relevant risk, cybersecurity, compliance, and regulatory requirements, is preferred.
• Proficiency in written and spoken English and Chinese including Putonghua.