← Công ty Cổ phần Chứng khoán VPBANK
Head Of Enterprise Data (AI)
Công ty Cổ phần Chứng khoán VPBANK · Hà Nội
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Type
Full-time
Work mode
On-site
Level
Director
Industry
IT - Software
Salary
Thương lượng
Location
Hà Nội, Hà Nội, Hà Nội
Overview
- Data & AI Strategy
- Define and execute the enterprise Data & AI strategy and multi-year roadmap aligned with business and technology priorities.
- Translate business ambitions into strategic Data & AI initiatives, investments and measurable outcomes.
- Drive the transformation toward a data-driven and AI-powered securities and investment platform.
- Advise executive management on Data & AI opportunities, emerging technologies and strategic priorities.
- Enterprise Data Foundation
- Build and operate a unified enterprise data platform that brings together customer, account, trading, portfolio, cash, margin, market, product and operational data from VPBankS’s core systems and digital platforms.
- Establish real-time and historical data capabilities to support management reporting, business analytics, customer experiences, risk management and AI/ML use cases.
- Develop trusted and reusable Data Products for key business domains, enabling consistent use of data across Trading, Wealth, Investment Banking, Risk, Finance, Operations and Technology.
- Make enterprise data easy to discover, access and consume through governed datasets, APIs and data services, reducing fragmented data extraction and duplicated reporting across the organization.
- Analytics, Data Science & AI
- Lead the development of AI-powered investment and trading capabilities as a strategic differentiator for VPBankS.
- Develop AI capabilities for market analysis, stock analysis, investment insights, portfolio intelligence and personalized investment recommendations.
- Build intelligent trading experiences including AI trading assistants, trading bots and AI-assisted trading decision support.
- Develop algorithmic and quantitative trading capabilities, leveraging market data, order-book data, historical trading data and quantitative models for signal generation, execution strategies and trading optimization.
- Apply AI and advanced analytics to understand investor behavior and deliver hyper-personalized trading and investment experiences.
- Data Governance
- Establish enterprise-wide governance to ensure data quality, ownership, security, privacy and regulatory compliance.
- Ensure critical business data has clear accountability and appropriate controls throughout its lifecycle.
- Establish appropriate governance for AI models, enterprise AI usage and Responsible AI.
- Promote a culture where trusted data is treated as a strategic enterprise asset.
- Organization & Leadership
- Build and lead a high-performing Enterprise Data & AI organization covering Data Engineering, Analytics, Data Science, Data Governance and AI.
- Define the organization structure, operating model, talent strategy and capability development roadmap.
- Establish strong engineering, delivery and governance disciplines across Data & AI teams.
- Develop senior Data & AI leaders and build sustainable internal capabilities.
- Manage strategic technology partners, vendors and Data & AI investments.
- KEY ACCOUNTABILITIES
- The Head of Enterprise Data & AI will ultimately be accountable for:
- Trusted enterprise data available for critical business and regulatory needs.
- Scalable Data & AI platforms capable of supporting the company's growth.
- Measurable business value generated from Analytics, Data Science and AI.
- Enterprise-wide Data Governance and responsible use of AI.
- Data & AI adoption across business and technology.
- Building a world-class Data & AI organization and talent base.
Benefits
Stock options / ESOP
Summary of facts from the official posting. View original ↗
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