[Công ty BHNT VPLife]- Giám đốc AI&Data

Leaves the board tomorrow
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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.