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Data & Analytics Lead

Remote People


Job Location:

Hanoi - Vietnam

Monthly Salary: Not provided by the employer
Posted: 16 September 2026 (5 hours ago)
Application Deadline: 14 December 2026
Vacancies: 1 Vacancy

Job Summary

About the Role

We are looking for an experienced Data & Analytics Lead to drive the companys 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 organisations data vision while overseeing the delivery of reliable data products analytics platforms and ML solutions.

Key Responsibilities
  • Data Strategy & Governance

    • Define and drive the companys 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 organisations 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
  • Bachelors degree in Data Science Computer Science IT Statistics Economics Mathematics Business Administration or a related discipline.

  • 35 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
  • Masters 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.


About Company

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