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.
- Analysis & Reporting: Monitor data usage for insights; support data-driven decision-making.
- 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
- Cloud platforms: AWS, Azure, Google Cloud
- Programming/scripting: Python, R, SQL
2. Data Governance & Compliance
- Data privacy laws and regulations (e.g., PDPA)
- Data quality and architecture
- Certification in data management (e.g., CDMP, DAMA)
3. Analytical & Visualization Skills
- Data analysis and interpretation
- Visualization tools support: Tableau, Power BI
- Attention to detail and high-quality standards
4. Leadership & Collaboration
- 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
- Effective interpersonal engagement across teams
Professional Certification
- A certified data management professional (e.g., CDMP, DAMA) is an advantage.
