Office of Digitalisation, Data and AI - Deputy Manager (Data Hub & Data Product)

Public Service Division; Singapore; On-site; SGD 78,000 - 123,000; Full time

Job summary

Public Service Division in Singapore is seeking a Deputy Manager, Data Hub & Data Products to oversee the design, development and operationalisation of an enterprise Data Hub for the IHL. You will combine data architecture, modelling and product management to deliver trusted data products supporting analytics, reporting, AI and decision-making.

The role requires collaboration with Schools, Departments and external vendors to translate business requirements into scalable enterprise data models

Qualifications

• Minimum 5 years of experience in data warehousing, EDM, architecture and modelling.
• Strong understanding of enterprise data management and data governance.
• Experience partnering with stakeholders to translate business needs into data products.

Responsibilities

• Data Product Management: develop enterprise data products aligned with priorities and drive adoption.
• Enterprise Data Modelling: design scalable models for analytics and AI.
• Data Architecture and Integration: support architecture design and vendor solution reviews.
• Data Warehouse and Data Hub Delivery: lead ETL/ELT discussions and onboarding of sources.
• Vendor and Technical Management: oversee external vendors and ensure delivery.

Skills

Data Warehousing

Data Management

Data Architecture

Data Modelling

ETL/ELT

Education

Information Systems

Computer Science

Data Analytics

Data Engineering

Job description

[What the role is]

The Deputy Manager, Data Hub & Data Products supports the design, development, and operationalisation of an Institute of Higher Learning (IHL) enterprise Data Hub.

The role combines capabilities in data architecture, data modelling, and data product management to ensure data assets are organised, governed and delivered as trusted data products that support analytics, reporting, AI and decision-making.

The incumbent will work closely with Schools, Departments, business stakeholders, and external technology vendors to translate business requirements into scalable enterprise data models and data products.

[What you will be working on]

1. Data Product Management
   Support the development and delivery of enterprise data products aligned with IHL’s strategic priorities.
   Work with business stakeholders to understand business needs, data requirements and desired outcomes.
   Translate business use cases into data product requirements, user stories and delivery roadmaps.
   Prioritise data product improvements based on business value and institutional impact.
   Drive adoption and usage of Data Hub data products across the institute.
   Monitor data product performance, usage and business outcomes.
   Support the implementation of Data-as-a-Service (DaaS) capabilities.

2. Enterprise Data Modelling
   Design and maintain conceptual, logical and physical data models for enterprise-wide data domains.
   Develop scalable data models that support analytics, operational reporting and AI use cases.
   Define and maintain business entities, relationships, business rules and metadata.
   Ensure consistency and alignment of data definitions across systems and domains.
   Support the development of enterprise semantic models and reusable datasets.
   Collaborate with Data Owners and Data Stewards to establish trusted data definitions.

3. Data Architecture and Integration
   Support the Lead Data Architect in designing enterprise data architecture and target-state Data Hub architecture.
   Review solution designs proposed by vendors and ensure alignment with enterprise architecture principles and standards.
   Support data ingestion, transformation, integration and data lifecycle design activities.
   Assess scalability, performance, maintainability and usability of architecture solutions.
   Contribute to enterprise data architecture blueprints, standards and reference architectures.
   Ensure effective integration across enterprise applications, learning systems and analytics platforms.

4. Data Warehouse and Data Hub Delivery
   Lead technical discussions relating to design and implementation.
   Review ETL/ELT pipelines, data transformation logic and data quality processes.
   Support onboarding of new source systems into the Data Hub.
   Identify data quality, performance and integration issues and coordinate resolution efforts.
   Support testing, validation and release activities for Data Hub initiatives.
   Ensure data assets are AI-ready, reusable and scalable.

5. Vendor and Technical Management
   Provide day-to-day oversight of external vendors delivering Data Hub solutions.
   Review vendor deliverables, technical documentation and implementation approaches.
   Challenge proposed designs where necessary and ensure solutions meet business requirements.
   Perform root cause analysis of data-related issues and coordinate resolution.
   Be hands-on in investigating data pipeline failures, integration issues, data discrepancies and performance bottlenecks.
   Escalate delivery, architecture or quality issues when required.
   Ensure knowledge transfer and documentation are completed by vendors.

[What we are looking for]

Qualification in Information Systems, Computer Science, Data Analytics, Data Engineering or related discipline.

Experience

• At least 5 years of experience in:
  • Data Warehousing
  • Enterprise Data Management
  • Data Architecture
  • Data Modelling