
Director of Artificial Intelligence (AI) & Data Analytics
- Tp Hồ Chí Minh
- Lâu dài
- Toàn thời gian
Key Responsibilities
- Define and execute the organization's AI & analytics strategy, aligned with business priorities across industries
- Translate business problems into data science projects with measurable outcomes (e.g., personalization, demand forecasting, pricing optimization, risk management, operational efficiency)
- Oversee end-to-end development of AI/ML solutions: problem framing, data exploration, modeling, deployment (batch & real-time)
- Lead the design and implementation of scalable AI/ML models (recommendation systems, time-series forecasting, NLP, computer vision, generative AI)
- Build, mentor, and lead a high-performing AI & Analytics team (data scientists, ML engineers, analysts, and data strategists)
- Establish strong partnerships with internal teams and external vendors to drive adoption of AI-driven solutions
- Promote robust data governance and ethical AI practices, ensuring compliance with data privacy and security regulations
- Evaluate and integrate emerging technologies (GenAI, real-time analytics platforms, large-scale ML frameworks)
- Track and report AI & analytics KPIs to executive leadership with actionable insights
- Stay ahead of industry trends and apply best practices to continuously improve analytics maturity
- Advanced degree (Ph.D. preferred) in computer science, data science, AI, or a related field.
- At least 12+ years of experience in data science, analytics & AI, with at least 5 years in senior leadership managing multidisciplinary teams.
- Proven track record delivering AI & advanced analytics initiatives that drive measurable business impact, ideally in diversified groups or large-scale corporations.
- Strong technical foundation in statistical modeling, machine learning, deep learning, and deploying models at scale (cloud and on-premise)
- Hands-on experience across the full data science lifecycle: EDA, feature engineering, model development, deployment, and performance monitoring
- Excellent business acumen and ability to communicate complex analytics concepts to non-technical audiences and influence C-level stakeholders
- Experience in budget management, vendor selection, and enterprise AI/analytics platform implementation is a plus.
- Fluent in English & Vietnamese.