Head of Data Platform Center

1. Data Platform Strategy & Leadership

• Lead and manage cross-functional teams including Data Engineering, Data Architecture, Data Platform, and Data Product.

• Define and execute the long-term data platform strategy aligned with the bank’s digital transformation roadmap.

• Act as a key stakeholder working closely with bank leadership, technology partners, and internal business units.

2. Data Platform Design & Implementation

• Oversee the architecture, implementation, operation, and optimization of enterprise-wide data platforms.

• Manage Data Lake, Data Warehouse, and Data Mart solutions at scale.

• Ensure platforms are scalable, reliable, secure, and cost-efficient.

3. Cloud & Infrastructure Management

• Lead the management of cloud-based data infrastructure (AWS, Azure, GCP).

• Ensure infrastructure meets business requirements, performance targets, and SLA commitments.

• Drive cloud cost optimization and operational efficiency.

4. Data Governance, Security & Compliance

• Establish and enforce data governance frameworks, policies, and standards.

• Ensure compliance with data security, privacy regulations, and banking industry standards.

• Collaborate with Risk, Compliance, and Information Security teams.

5. Delivery & Change Management

• Manage a high volume of change requests, ensuring effective prioritization and timely delivery.

• Continuously improve processes to increase data pipeline efficiency and reduce operational costs.

• Ensure platform stability while supporting rapid business changes.

6. Data-Driven Strategy & AI Enablement

• Lead the implementation of data-driven initiatives that generate tangible business outcomes.

• Enable data platforms to support AI/ML and advanced analytics use cases, such as:

• • Credit scoring

  • Fraud detection

  • Risk analytics

  • Customer personalization

• Partner with Data Science and AI teams to ensure data readiness for analytics and machine learning.

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

• 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.

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

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

• 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.

• 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.

• Salary: Negotiable

• Bonuses: Public holidays, Tet bonus, and at least 13th-month salary per year.

• Insurance: Full Social Insurance (SI) and Health Insurance (HI) in accordance with labor law.

• Leave: Annual leave as per Vietnamese labor regulations.

• Working environment: Professional and international working environment.