MÔ TẢ CÔNG VIỆC

Chief Data and AI Officer (CDAO) is responsible for shaping VPLife into an AI-Native life insurer, where data, artificial intelligence, and intelligent automation are designed from the outset as core capabilities underpinning the business model, operations, risk management, and customer experience.

1. Data & AI Strategy

• Define VPLife’s AI-native vision, strategy, target architecture, and roadmap aligned with business priorities.
• Establish the Data & AI operating model, governance, organization structure, and sourcing strategy.
• Advise the CEO and Executive Management on AI investments, strategic priorities, operating model changes, and AI risk appetite.

2. Data, Analytics & Platforms

• Build the foundational enterprise data architecture, governance framework, and Data & AI platforms.
• Ensure data quality, ownership, security, traceability, scalability, and readiness for analytics and AI.
• Develop enterprise KPI frameworks, dashboards, predictive analytics, and decision-support capabilities.

3. AI Products & Innovation

• Build and scale a portfolio of AI/ML/GenAI solutions and AI Agents across distribution, personalization, underwriting, servicing, claims, fraud prevention, and workforce productivity.
• Lead AI initiatives from use-case discovery and experimentation to deployment, adoption, and scale-up.
• Establish reusable AI capabilities and effective human-AI collaboration models.

4. Responsible AI & Risk Management

• Establish a Responsible AI Governance Framework covering model lifecycle, risk classification, approval, monitoring, privacy, fairness, explainability, and human oversight.
• Partner with Risk, Legal, Compliance, Information Security, and Internal Audit to manage AI-related risks and incidents.

5. Value & Ecosystem Management

• Prioritize Data & AI investments based on business value, feasibility, readiness, and risk.
• Track benefits, costs, adoption, and business outcomes across the Data & AI portfolio.
• Manage strategic partnerships with VPBank, technology vendors, and external AI/Data partners

6. Leadership & AI-Ready Culture

• Build and lead a high-performing Data & AI organization, including workforce planning, capability development, and talent pipelines.
• Drive enterprise-wide adoption of data-driven decision-making and responsible AI practices.
• Foster innovation, experimentation, knowledge sharing, and strong collaboration between Data & AI and business teams.

YÊU CẦU CÔNG VIỆC

• Bachelor’s degree or higher in Data, AI, Technology, Mathematics, Finance, Business, or related fields; advanced degrees/certifications are preferred.
• 10+ years of experience in Data, Analytics, AI, Technology, or Digital Transformation, including 5+ years in leadership roles.
• Proven experience building or transforming enterprise Data & AI functions, covering strategy, governance, architecture, platforms, analytics, and AI solutions.
• Strong track record in delivering AI/ML/GenAI and AI Agent solutions with measurable business impact.
• Experience in banking, insurance, or financial services is preferred; Bancassurance exposure is a plus.
• Strong strategic thinking, transformation leadership, stakeholder management, and business acumen.
• Excellent communication skills in Vietnamese and English, with a strong commitment to Responsible AI.