JOB DESCRIPTION
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.
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.
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.
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.
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.
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
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.
REQUIREMENTS
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.
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