Group Chief Data Officer

The Group Chief Data Officer (CDO) is responsible for defining, leading, and executing the enterprise-wide data and AI strategy across the Group. This role ensures that data, analytics, and AI become core strategic assets driving business growth, operational excellence, risk management, and innovation.

As a C-level executive, the Group CDO plays a critical role in large-scale data and AI transformation within a banking group environment, bridging business strategy, technology, and data while leading sizable, high-impact Data & AI organizations.

1. Group Data Strategy & Governance

• Define and execute the Group Data Strategy aligned with the Group’s long-term business objectives.

• Establish and oversee a comprehensive Data Governance framework, including data ownership, data quality, data security, privacy, and regulatory compliance.

• Design and standardize Group/Ecosystem Data Models to ensure consistency, scalability, and reusability across the organization.

2. Data Platforms & Business Intelligence

• Lead the development and operation of enterprise-scale data platforms supporting the Group’s data and analytics needs.

• Oversee Business Intelligence and analytics capabilities, ensuring timely, accurate, and actionable insights for senior management and business units.

• Promote a data-driven culture and embed data-based decision-making across the organization.

3. AI, Advanced Analytics & Innovation

• Lead and grow the AI Lab / AI Factory, driving the application of AI and advanced analytics across key use cases, including:

• • Business growth and customer personalization

  • Customer experience enhancement

  • Operational optimization

  • Risk management and fraud detection

• Ensure AI and data initiatives deliver measurable business outcomes.

• Monitor emerging trends in data, AI, and GenAI, proposing innovation initiatives aligned with the Group’s strategic priorities.

4. Leadership & Organization Management

• Lead, manage, and develop large-scale Data & AI organizations (200+ professionals), including senior leaders, domain experts, and delivery teams.

• Define organizational models, capability frameworks, talent development, and succession planning for critical roles.

• Collaborate closely with Business, IT, Risk, Compliance, and other Group functions to ensure alignment and execution excellence.

5. International Collaboration & Ecosystem Engagement

• Work with international partners, vendors, and stakeholders on data and AI initiatives.

• Ensure alignment between global best practices and Vietnamese market requirements.

• University degree with majors: Business Administration, Technology, Finance – Banking, Economics or related fields,  Master Degree in Business or Finance is preferred.

• At least 15 years of experience in the Data and Data Science domain, including a minimum of 5 years in a senior leadership role such as Chief Data Officer or Chief Data Scientist.

• Extensive banking experience covering the full data scope: Data Platform, Business Intelligence, Group/Ecosystem Data Models, Data Governance, Data Strategy & Innovation, and AI Lab/Factory.

• Proven track record in leading strategic data transformation initiatives and achieving measurable business impact through effective applications of AI and Data.

• Experience working in organizations of similar scale (banking groups or corporations with over 10,000 employees).

• Exposure to both international and Vietnamese markets.

• Fluent English (professional working proficiency).

• Experience in managing large teams of 200+ members.

• 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.