Senior Data Manager

We are seeking a Senior Data Manager who is an experienced professional responsible for overseeing the collection, management, and analysis of data within our organization. This role involves ensuring 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: Develop data management policies; lead governance and compliance efforts.
• Collaboration & Support: Work with infrastructure teams, project managers, and vendors; train staff on data practices.
• Analysis & Reporting: Analyze data for insights; support data-driven decision-making.
• System Maintenance: Design, troubleshoot, and optimize databases; support migrations and upgrades.
• Leadership: Manage and mentor a data team; prioritize and oversee data-related projects.
• Pipeline/Demand Management: Prioritize and manage 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 8-10 years of experience in data management or a similar role
• Proven 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: Tableau, Power BI
• Attention to detail and high-quality standards

4. Leadership & Collaboration

• Leading and mentoring data teams
• Cross-functional collaboration with IT, business units, vendors
• Influencing senior stakeholders and fostering a data-driven culture

5. Project & Stakeholder Management

• Managing multiple priorities and competing delivery demands
• Strong project management and troubleshooting skills
• Executive presence and negotiation capabilities

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.