Data & AI Manager

• Develop and implement the Data & AI strategy to support the companys product development objectives and business growth.
  
• Manage provide direction for and develop the Data Analytics Data Engineering Data Science and AI Engineering teams.
  
• Design build and operate a centralized Data Warehouse and Data Lake system. Develop and operate data pipelines for event tracking data sources and third-party data sources.
  
• Develop automated and visual reporting systems and dashboards providing insights to support decision-making by senior management and departments.
  
• Design event tracking systems establish measurement metrics and implement A/B testing and cohort analysis to evaluate game quality including retention playtime game economy and other relevant indicators as well as business performance including ROAS LTV and other key metrics.
  
• Develop a data governance framework to ensure data quality security access control and compliance in data utilization.
  
• Build Machine Learning models to analyze business data and player behavior in order to optimize user experience and revenue.
  
• Develop and implement internal tools and systems that integrate Generative AI solutions into the organizations workflows to automate processes and optimize resources.
  
• Collaborate with other departments to translate business problems into technology solutions and promote a data-driven culture across the organization.
  

• Minimum of 8 years of experience in Data & AI including at least 3 years in a management position.
  
• Strong understanding of large-scale data system architecture with hands-on experience in building data warehouse and data lake systems on cloud platforms.
  
• Practical experience in integrating and processing large-scale data as well as handling complex ETL/ELT data pipelines.
  
• Hands-on experience in establishing and implementing data governance frameworks with the ability to control data quality and set up access permissions.
  
• Strong knowledge of statistics A/B testing cohort analysis and other relevant methodologies; proficiency in BI tools.
  
• Experience in developing and deploying AI and Machine Learning models in real-world applications. Strong understanding of MLOps processes with experience in applying Generative AI technologies and designing and building AI Agent systems to automate complex tasks.
  
• Strategic mindset team leadership capability and the ability to work effectively with stakeholders across the organization.
  

Compensation and Benefits

• Competitive salary to be discussed directly during the interview.
  
• Fixed 13th-month salary bonus.
  
• Profit-sharing bonus based on business results and individual performance with total annual income of up to 1619 months salary.
  
• Holiday and Tet bonuses in the form of cash or gifts depending on each occasion during the year.
  
• Healthcare benefits including PVI health insurance after official employment and annual health check-ups.
  
• Full provision of working tools and equipment required for the job.
  
• Employee engagement activities including company trips twice a year with travel support policies for employees family members quarterly departmental team bonding annual team building and a wide range of dynamic internal events.
  

• Salary review twice a year based on work performance and individual capability.
  
• Clear career development roadmap with transparent promotion opportunities.
  
• Diverse learning platforms including access to LinkedIn Learning Coursera and other learning resources.
  
• Annual training budget of VND 1015 million per person per year to support professional and skill development for the role.
  
• Foundational skills and professional training programs for the entire organization.
  

Working Environment

• Modern office space of more than 1000 square meters including common areas meeting rooms workspaces and a well-equipped pantry.
  
• Opportunities to participate in various clubs such as football badminton pickleball and others.
  
• Young dynamic and engaging working environment that values teamwork and proactiveness.
  

Working hours: 8:00 AM 5:30 PM Monday to Friday.