Job description
ACG_3690_JOB Our client, who is a fast-growing technology company in the mobile gaming industry, is looking for a qualified candidate to join their firm. Develop and implement the Data & AI strategy to support the company’s 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 organization’s 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.
Requirements
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.
Benefits
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 16–19 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.
Learning and Development Opportunities 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 10–15 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 1,000 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. Contact: Thao Phan or Giang Van Due to the immense number of applications, only shortlisted candidates will be contacted.