Leadership and Strategy
- Develop and execute the strategic roadmap for the Data Platform Center, ensuring alignment with the organization’s overall data and IT strategies.
- Oversee the design and implementation of enterprise data architecture to support group-wide initiatives.
- Provide leadership across all functional areas of the center, including Data Product, Data Governance, Data Architecture, and CR Management Team.
- Serve as the key liaison between business units, IT teams, and data stakeholders to ensure alignment and value delivery.
- Foster a culture of innovation, operational excellence, and continuous improvement in the center.
Enterprise Data Architecture / Kiến trúc Dữ liệu Doanh nghiệp
- Define the design and governance of enterprise-wide data architecture principles, frameworks, and standards to ensure consistency across systems and processes.
- Oversee the alignment of system design and interoperability to ensure consistency across systems and processes.
- Collaborate with IT architects to deliver integrated data and IT strategies.
Data Product Management
- Manage business requirements analysis and the development of change requests (CRs) for Data Warehouse and related data products.
- Oversee the design and delivery of data pipelines and reporting systems to support compliance requirements, such as SBV Circular 11.
- Drive cloud and other data product initiatives, ensuring alignment with the broader Enterprise Data Analytics (EDA) strategy.
Data Engineering and Operations
- Oversee the design, implementation, and maintenance of end-to-end data pipelines and data processing systems in the enterprise data zone (Data Warehouse).
- Manage the integration of raw data into downstream systems to serve both business units' needs as well as regulatory reporting requirements.
- Ensure the stability, scalability, security, and performance of data provisioning systems by establishing best practices for monitoring, alerting, capacity management, issue resolution.
- Lead internal efforts to identify root causes of incidents; fixes serve as inputs into DPC's management standards.
Change Request (CR) Management
- Ensure the delivery of CRs meets agreed timelines, business requirements, and quality standards.
- Lead communication and updates with business functions through appropriate forums to ensure transparency and collaboration.
- Oversee CR prioritization, resource allocation, SLA management, and performance tracking to optimize service delivery.
- Recommend and implement process and technology improvements to enhance efficiency in CR delivery.
Team Management and Development
- Build and develop a high-performing team across Data Product, Data Engineering, Data Architecture, and CR Management functions.
- Define clear roles, responsibilities, and performance benchmarks to ensure operational excellence.
- Mentor and empower team members, fostering a culture of collaboration, innovation, and accountability.
- Manage resources and cost optimization across the center to ensure sustainable delivery.