Data Manager

NETS; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

NETS is seeking a Data Manager to oversee data collection, management, and analysis within the organization. You will ensure data accuracy, integrity, and security while shaping strategies to optimize data processes.

The role requires collaboration with cross-functional teams to support data-driven decisions and drive business goals. The ideal candidate will stay current with data technology trends, implement best practices, and help maintain a robust data infrastructure that supports scalable

Qualifications

• Minimum 5–8 years of experience in data management or a similar role.
• Experience with data governance, data quality management, and data architecture.
• Knowledge of privacy and security principles for data handling.

Responsibilities

• Data Oversight: manage data collection, storage, and systems with accuracy and security.
• Strategy & Governance: run governance and compliance for data and AI policies.
• Collaboration & Support: train staff on data and AI practices.
• System Maintenance: monitor data platform availability and coordinate issue resolution.
• Leadership: lead and mentor a data team and oversee data-related projects.
• Demand Management: manage book of work for data-related requests.

Skills

SQL databases

Data modeling

ETL tools

Data warehousing

Python/SQL

Education

Bachelor's or Master’s degree in Computer Science/IT/Data Science

Tools

Tableau

Power BI

ETL tools

Job description

We are seeking a Data Manager who is an experienced professional responsible for the BAU running of data collection, management, and analysis within our organization. This role involves monitoring and maintaining data accuracy, integrity, and security while developing strategies to optimize data management processes. The role is expected to collaborate with cross-functional teams to support data-driven decision-making and provide insights that drive business objectives. The ideal candidate should be abreast of industry trends and advancements in data technology to implement best practices and innovative solutions, ensuring our organization's data infrastructure remains robust and efficient.

Key Responsiblity

• Data Oversight: Manage data collection, storage, and systems; ensure data accuracy, integrity, and security.
• Strategy & Governance: Run governance and compliance efforts of the data management and AI policies.
• Collaboration & Support: Plan and organize train staff on data and AI practices and usage.
• System Maintenance: Monitor and maintain data platform availability and work with the relevant teams to resolve open issues impacting the data platform.
• Leadership: Manage and mentor a data team; prioritize and oversee data-related projects.
• Demand Management:Manage book of work for data-related requests and projects

Requirements

Education and Experience

• Bachelor's or Master’s degree in Computer Science, Information Technology, Data Science, or related field
• Minimum of 5-8 years of experience in data management or a similar role
• Prior experience with data governance, data quality management, and data architecture

Skills and Knowledge

1. Technical Expertise

• Database systems: SQL Server, Oracle, MySQL
• Data modeling and database design
• ETL and data integration tools
• Data warehousing and big data technologies
• Programming/scripting: Python, R, SQL

2. Data Governance & Compliance

• Data privacy laws and regulations (e.g., PDPA)
• Data quality and architecture

3. Analytical & Visualization Skills

• Data analysis and interpretation
• Visualization tools support: Tableau, Power BI
• Attention to detail and high-quality standards
• Cross-functional collaboration with IT, business units, vendors

5. Project & Stakeholder Management

• Managing priorities and delivery demands
• Piror project management and troubleshooting skills

6. Communication & Interpersonal Skills

• Clear, credible, and confident communication

Professional Certification

• A certified data management professional (e.g., CDMP, DAMA) is an advantage.