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.
• Foster a culture of innovation, operational excellence, and continuous improvement in the center.
• Serve as the key liaison between business units, IT teams, and data stakeholders to ensure alignment and value delivery.
Enterprise Data Architecture / Kiến trúc Dữ liệu Doanh nghiệp
• Collaborate with IT architects to deliver integrated data and IT strategies.
• Oversee the alignment of system design and interoperability to ensure consistency across systems and processes.
• Define the design and governance of enterprise- wide data architecture principles, frameworks, and standards to ensure consistency across systems and processes.
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&039; 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&039;s management standards.
Change Request (CR) Management
• Recommend and implement process and technology improvements to enhance efficiency in CR delivery.
• Oversee CR prioritization, resource allocation, SLA management, and performance tracking to optimize service delivery.
• 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.
Team Management and Development
• Manage resources and cost optimization across the center to ensure sustainable delivery.
• Mentor and empower team members, fostering a culture of collaboration, innovation, and accountability.
• Define clear roles, responsibilities, and performance benchmarks to ensure operational excellence.
• Build and develop a high- performing team across Data Product, Data Engineering, Data Architecture, and CR Management functions.