Giám đốc Trung tâm Nền tảng Dữ liệu

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.

 Drive the design and implementation of enterprise data architecture to support group-wide data systems.

 Provide leadership across all functional areas of the center, including Data Product, Data Engineering, 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

 Lead the design and governance of enterprise-wide data architecture principles, frameworks, and concepts.

 Oversee the alignment of system design and interoperability to ensure consistency across data systems.

 Collaborate with IT architects to deliver integrated enterprise 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 (for analytics, AI/ML) and application/system needs.

 Ensure the stability, scalability, and cost-effectiveness of data provisioning systems and day-to-day operations, including SLA management, data observability, and issue resolution.

 Lead infrastructure, application support, and security fixes for systems under DPC’s management

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.

Trình độ đào tạo

Đại học in Kỹ sư dữ liệu or Khoa học dữ liệu

Các năng lực khác

- Bachelor’s or Master's degree in Computer Science, Engineering, Data Science, or a related field/ Đại học hoặc cao hơn liên quan đến 1 trong các ngành kinh tế, tài chính, ngân hàng, hoặc công nghệ thông tin, toán tin ứng dụng, ngoại thương…/

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Leadership Experience:

- 10+ years in data-related roles, with at least 5 years in a leadership position managing teams across data engineering, architecture, and product functions.

- Experience leading cross-functional teams, preferably in large-scale enterprise data environments.

Data Platform Development & Management:

- Proven track record of overseeing the design, implementation, and maintenance of enterprise-wide data platforms and solutions.

- Experience in managing cloud-based data infrastructure and ensuring its alignment with business needs.

Change Management & Process Improvement:

- Experience in managing large volumes of change requests, prioritizing, and ensuring timely and effective delivery.

- Track record of implementing process improvements that enhance data pipeline efficiency and reduce operational costs.

Working with Business Units & Stakeholders:

- Experience in collaborating closely with business units to define data product requirements and ensure data systems support business objectives.

- Familiarity with aligning IT and business goals through data-driven solutions.

Technology Expertise:

- Experience with data technologies (e.g., SQL, NoSQL, Hadoop, Spark) and data platforms (e.g., Snowflake, Redshift, BigQuery).

- Familiarity with AI/ML tools and how data platforms can support data science initiatives.

- Data Architecture

- Data Engineering

- Data Product Management

- Change Request (CR) Management

- Cloud Computing & Data Platforms

- Security & Compliance

- BI, AI & Machine Learning

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In-depth knowledge of data management best practices and industry standards, including data governance, security, and data privacy.

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Experience in leading the implementation of data-driven strategies that deliver tangible business outcomes

- Leadership & Team Management

- Strategic Thinking & Decision-Making

- Project & Resource Management

- Communication & Collaboration

- Performance Monitoring & Optimization

- Innovation & Continuous Improvement