Senior Data Hub & Data Product Manager

RPO Republic Polytechnic; Singapore; On-site; SGD 110,000 - 180,000; Full time

Job summary

Republic Polytechnic in Singapore seeks a Deputy Manager to lead the Data Hub & Data Products, designing and operating an enterprise Data Hub that enables analytics, AI and informed decision-making. The role combines data architecture, modelling and product management to deliver trusted data products for the institution.

You will collaborate with Schools, Departments and external technology vendors to translate requirements into scalable data models, establish governance and metadata standards,

Qualifications

• Qualification in Information Systems, Computer Science, Data Analytics, Data Engineering or related discipline.
• At least 5 years of experience in data warehousing, data architecture and analytics platforms.
• Experience delivering enterprise-scale data platforms and managing vendors.

Responsibilities

• Lead design and delivery of enterprise Data Hub and data products.
• Collaborate with schools, departments and vendors to translate requirements into scalable data models.
• Review ETL/ELT pipelines and data quality processes.
• Design and maintain enterprise data models and metadata governance.
• Support onboarding of new data sources and integration with analytics platforms.
• Ensure data assets are reusable, AI-ready and scalable.

Skills

Data warehousing

Enterprise data management

Data architecture

Data modelling

Data engineering

BI / analytics platforms

Education

Information Systems / Computer Science / Data Analytics / Data Engineering

Tools

Microsoft Fabric

Azure Data Services

Job description

Republic Polytechnic in Singapore seeks a Deputy Manager to lead the Data Hub & Data Products, designing and operating an enterprise Data Hub that enables analytics, AI and informed decision-making. The role combines data architecture, modelling and product management to deliver trusted data products for the institution.

You will collaborate with Schools, Departments and external technology vendors to translate requirements into scalable data models, establish governance and metadata standards,