About the Role

We are looking for an experienced Data & Analytics Lead to drive the company’s data strategy, governance, operations, analytics, and machine learning capabilities.

This role will work closely with senior stakeholders and cross-functional teams to turn data into actionable insights, improve business decision-making, and build scalable data solutions. You will play a key role in shaping the organisation’s data vision while overseeing the delivery of reliable data products, analytics platforms, and ML solutions.

Key Responsibilities

• Data Strategy & Governance

  • Define and drive the company’s data vision, strategy, governance framework, and policies.

  • Ensure data products, reports, dashboards, models, and analytics are accurate, reliable, compliant, and fit for purpose.

  • Promote data-driven decision-making across business functions and teams.

• Data Operations & Delivery

  • Oversee data pipelines and information systems to ensure data is available, timely, accurate, and scalable.

  • Anticipate evolving business needs and identify opportunities for new data products and solutions.

  • Manage the delivery of data and analytics projects from initial concept through development and production.

  • Ensure high-quality support for ad-hoc data and business intelligence requests.

• Analytics & Business Insights

  • Identify analytics opportunities that can support business and product growth.

  • Develop the organisation’s analytics capabilities and use data science to generate deeper insights into customers, products, and business performance.

  • Partner with stakeholders to translate complex data into clear and actionable recommendations.

• Machine Learning & MLOps

  • Oversee the end-to-end MLOps lifecycle, including model training, evaluation, deployment, and inference.

  • Establish automated ML pipelines and CI/CD processes to support scalable model deployment.

  • Implement monitoring and alerting frameworks to identify model performance issues, data drift, and production degradation.

  • Support cloud-based ML infrastructure across platforms such as GCP or AWS.

• Leadership & Stakeholder Management

  • Lead and develop the data team, creating a culture of ownership, collaboration, and continuous improvement.

  • Work closely with senior leadership and technical/non-technical stakeholders to align data initiatives with business priorities.

  • Communicate complex technical concepts in a clear and engaging manner.

Requirements

• Bachelor’s degree in Data Science, Computer Science, IT, Statistics, Economics, Mathematics, Business Administration, or a related discipline.

• 3–5+ years of experience in data management, analytics, data strategy, or a related leadership role.

• Proven experience managing end-to-end data projects, from ideation and development through to production.

• Strong experience managing multiple stakeholders, timelines, deliverables, and expectations.

• Excellent analytical, problem-solving, and critical-thinking skills.

• Strong understanding of BI, data analytics, AI/ML, reporting, visualisation, data architecture, infrastructure, and governance.

• Hands-on understanding of MLOps, including tools such as MLflow, Kubeflow, or DVC, and ML CI/CD pipelines.

• Experience with GCP and/or AWS and cloud infrastructure for production ML environments.

• Strong leadership and team management capabilities, with the confidence to influence senior stakeholders.

• Strategic thinker with the ability to operate effectively in a fast-changing and ambiguous environment.

• Excellent communication skills in English and Vietnamese, both written and verbal.

• Adaptable, curious, open-minded, and comfortable working in a high-growth environment.

Nice to Have

• Master’s degree or PhD in Data Science, Data Analytics, Computer Science, or a related field.

• Experience within the gaming, mobile, music, entertainment, or technology industry.

• Strong knowledge of modern data stacks and cloud-based data platforms.

• Experience designing and leading organisation-wide data strategy initiatives.

• Passion for games, music, or digital entertainment is a strong advantage.