Data Governance Manager
Lotte Finance Xem tất cả việc làm
- Hà Nội
- Lâu dài
- Toàn thời gian
- Bảo hiểm
- Phụ cấp
- Thưởng
- Chăm sóc sức khỏe
- Đào tạo
- Tăng lương
- Công tác phí
- Phụ cấp thâm niên
- Chế độ nghỉ phép
- Design, implement, and maintain the enterprise-wide Data Governance Framework, aligning with corporate strategy and regulatory requirements.
- Define and enforce data policies, standards, and procedures for data quality, data lifecycle management, metadata management, and data access.
- Establish a data ownership and stewardship model, ensuring accountability for data assets across business units.
- Develop and monitor data quality metrics and KPIs, identify data quality issues, and coordinate remediation actions.
- Ensure compliance with data-related regulations (e.g., GDPR, local data privacy laws, SBV/State Bank of Vietnam requirements for financial institutions).
- Partner with IT, Risk, and Compliance teams to manage data security, privacy, and classification standards.
- Lead and coordinate data steward and data owner communities across the organization.
- Provide training, awareness, and communication programs to promote a strong data culture.
- Collaborate with business and technology teams to ensure alignment between data governance, architecture, and data analytics initiatives.
- Support implementation and adoption of metadata management tools, data catalogues, and master data management (MDM) systems.
- Ensure consistent business glossary definitions and alignment across data domains.
- Regularly report data governance KPIs and progress to senior management and data governance committees.
- Continuously assess and improve data governance maturity, practices, and tools.
- Bachelor's degree or higher in Information Management, Computer Science, Business, or related field.
- 5+ years of experience in data management, governance, or data quality roles; at least 2-3 years in a managerial or leadership capacity.
- Proven experience implementing enterprise data governance frameworks and tools (e.g., Collibra, Informatica Axon, Alation, IBM IGC).
- Familiarity with data management best practices (DAMA-DMBOK) and regulatory requirements for data handling.
- Strong knowledge of data architecture, metadata, master data, and data quality management concepts.
- Excellent stakeholder management, communication, and facilitation skills.