Manager / Senior Manager (Data Governance & Management)

Gambling Regulatory Authority; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Gambling Regulatory Authority (GRA) invites a Manager/Senior Manager to lead data governance and management across the organisation in Singapore. You will define policies, assign data owners and stewards, and build roadmaps for data platforms and pipelines prioritising availability, security and value.

You will drive data quality frameworks, oversee risk, security, and compliance with IM8/PDPA, and enable secure data sharing while promoting data literacy and governance culture.

Qualifications

• 3+ years in data governance, data warehouse management, or data analytics project management.
• Experience with PowerBI and Tableau for analytics.
• Knowledge of data architecture, data platforms, and databases.
• Familiarity with ETL/ELT tools and pipeline orchestration.

Responsibilities

• Establish and maintain data governance policies and accountability across units.
• Ensure data quality and integrity with metrics and monitoring.
• Manage data risk, security, and regulatory compliance (e.g., IM8, PDPA).
• Enable data sharing and establish authoritative data sources and metadata management.
• Build governance culture and capability with governance committees and dashboards.
• Oversee AI/ML governance, lifecycle, monitoring, and responsible AI practices.

Skills

PowerBI

Tableau

Data governance

Data analytics

Tools

ETL/ELT tools

Job description

What the role is:

As Manager / Senior Manager (Data Governance & Management), you will manage GRA's data assets to support the data needs, and compliance to the IM8 requirements.

What you will be working on:

1. Establish Data Governance Policies and Accountability
   1. Define and maintain data governance policies, standards and procedures
   2. Assign clear roles such as Data Owners, Data Stewards and Custodians
   3. Ensure accountability for data across business units
   4. Develop GRA's roadmaps for data platform and pipelines that ensure availability, scalability, security and performance
2. Ensure Data Quality and Integrity
   1. Implement data quality frameworks, metrics, and monitoring
   2. Drive remediation of data quality issues and root causes
   3. Ensure data is accurate, complete, consistent, and fit for operational and decision-making purposes
3. Manage Data Risk, Security, and Compliance
   1. Ensure compliance with regulatory and Whole of Government requirements e.g. IM8, PDPA
   2. Oversee data classification, access controls, retention and protection measures
   3. Reduce risks relating to privacy breaches, unauthorized access and inappropriate use of data.
4. Enable Data Sharing and Business Value
   1. Promote trusted, secure, and efficient sharing of data across departments and agencies
   2. Establish data dictionary, catalogues, metadata management and authoritative data sources
   3. Support analytics, digital services, AI initiatives, policy development and operational decision-making through trusted data.
5. Build Governance Culture and Capability
   1. Develop organisational awareness and data literacy
   2. Establish governance committees, reporting structures and performance dashboards
   3. Train stakeholders on governance responsibilities and foster a culture where data is treated as a strategic asset.
6. Strengthen Data Integration with AI Capability
   1. Implement AI and ML strategies aligned with organisational objectives
   2. Design and oversee end-to-end machine learning lifecycle processes
   3. Establish model governance, monitoring, explainability, fairness, and risk management controls
   4. Ensure compliance with Responsible AI, AI governance, security, privacy, and ethical guidelines.

What we are looking for:

1. Background in Infocomm Technology or Computer Science or Electrical Engineering
2. At least 3 years of working experience in data governance, data warehouse management, data platform management and data analytic project management using PowerBI and Tableau
3. Strong foundation in data architecture, data platform, data quality management and database technologies
4. Preferably with experience in handling ETL/ELT tools and pipeline orchestration.
5. Knowledge of cloud platforms (Azure, AWS, GCC, GDC, etc.).
6. Good verbal and written communication skills
7. Good interpersonal skills
8. Good to have some experience with machine learning techniques, data regression, clustering, forecasting, RAG and anomaly detection.

About Gambling Regulatory Authority

The Gambling Regulatory Authority (GRA) was reconstituted from the Casino Regulatory Authority (CRA) on 1 August 2022. GRA is a statutory board under the Ministry of Home Affairs and is responsible for regulating the gambling landscape in Singapore. We protect the people by keeping gambling honest and free of criminal influence, and minimising the harm from gambling. We strive to be a trusted and agile gambling regulator for a safe Singapore.