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← Công ty Cổ phần Chứng khoán VPBANK

Head of Enterprise Data AI/Database/Data Science

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
Quận Đống Đa, 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.
  • Your Skills and Experience
  • 10+ years of experience in Data, Analytics, AI or related technology disciplines, including significant leadership experience.
  • Proven experience leading enterprise-scale Data & AI transformation.
  • Strong understanding of modern Data Platforms, Analytics, Data Science, AI and Data Governance.
  • Experience building and managing multidisciplinary Data & AI organizations.

Benefits

InsuranceBonusHealthcareCompany tripsTrainingStock options / ESOP

Summary of facts from the official posting. View original ↗

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