Strategy & Advisory: Propose data and AI strategies aligned with business objectives; serve as a strategic partner to the Executive Board in promoting the application of data & AI.
Team Management & Development: Build, lead, and develop the Data/AI team (Data Engineers, Data Scientists, ML Engineers, AI Ops, Data Analysts).
Build & Implement Data – AI Systems: Design modern data architecture, integrate multiple sources, ensure quality, security, and legal compliance; lead AI projects from experimentation to real-world deployment; monitor model performance and manage AI risk/ethics.
Develop Data Products & Decision Support Tools: Create dashboards, recommendation systems, predictive analytics; establish KPIs/ROIs to evaluate the effectiveness of data & AI initiatives.
Cross-Departmental Coordination & Member Units: Assist departments in transforming data into information for decision-making; advise, control, and ensure compliance with security regulations at member units.
Information Security Department Management: Set objectives, action plans; assign and coordinate resources; refine processes and forms; train, coach, and create an effective working environment for employees.
JOB REQUIREMENTS
Qualifications: Bachelor's or Master's degree in a relevant field.
Field of Study: Computer Science, Artificial Intelligence, Software Engineering, or related areas.
Experience: A minimum of 5 years of experience in the AI/Machine Learning field, with at least 2 years in a management position.
Ability to communicate and comprehend technical documents in English.
Proficient in office tools, data tools, and AI tools.
Proficient in AI/ML technologies, Data Engineering.
Experience working with AI platforms such as TensorFlow, PyTorch, Microsoft Cognitive Toolkit...
Understanding of AI models, big data processing, Cloud computing AWS, Google Cloud, MS Azure…
Clear, accurate, and effective presentation skills that make it easy for the audience to understand. Ability to convey information to superiors and receive feedback from subordinates.
Planning, summarizing, and reporting skills.
Time management, team management, and multitasking effectively.
Possession of certifications in the AI/ML field is an advantage.
In-depth knowledge of MLOps, Big Data, Cloud Computing.
BENEFITS & WELFARE
Working hours: Monday to Friday: from 8:00 AM to 5:30 PM (lunch break from 12:00 PM to 1:30 PM); Saturday: from 8:00 AM to 12:00 PM.
Annual leave is granted according to the provisions of the Labor Law.
Other benefits are specified in the labor agreement, legal basis, and other agreements.