MAIN RESPONSIBILITIES
Data & AI Strategy & Management
- Develop a Data & AI development strategy aligned with the Group's direction.
- Establish a data and AI governance framework (data standards, security, ethics, compliance).
- Build a roadmap for Data & AI implementation in phases.
- Propose and manage the budget for Data & AI activities.
Data Platform Development & Operations
- Build and operate data systems: Data Lake, Data Warehouse, ETL/ELT.
- Integrate data from business systems.
- Ensure data quality, security, and availability.
- Manage access rights, data standards, and Data Governance policies.
AI Development & Application
- Monitor research and development of AI/ML/GenAI models.
- Implement AI in the Group's operations:
- Process automation
- Internal & customer chatbots
- Forecast analysis & operational optimization
- Manage the AI lifecycle from POC → Pilot → Production.
- Ensure quality, performance, and safety of AI data.
Data Analysis & Mining
- Build BI systems, dashboards, and management reports.
- Analyze data to support business decision-making.
- Develop forecasting, scoring, and recommendation models.
- Transform data into insights for business.
Team Management & Organizational Coordination
- Build and develop the Data & AI team.
- Assign, supervise, and evaluate work effectiveness.
- Foster a culture of innovation, learning, and creativity.
- Coordinate with units and technology partners.
JOB REQUIREMENTS
- Graduated from university or higher in IT, Data Science, AI, or related fields.
- Minimum of 5 years of experience in the Data/AI field, with at least 2 years in management.
- Experience in implementing data and AI projects at an enterprise scale.
- Deep understanding of data architecture, Big Data, Cloud Computing.
- Proficient in AI/ML technologies, Data Engineering.
- Experience with AI platforms: TensorFlow, PyTorch, etc.
- Knowledgeable in Data Governance, security, and data management.
- Data analysis and systems thinking.
- Leadership and personnel development.
- English communication and reading comprehension of technical documents.
- Proficient in data tools, BI, and AI platforms.
- Strategic thinking and innovation.
- High sense of responsibility and information security.
- Proactive, agile, and results-oriented.
BENEFITS & WELFARE