
Data Team Leader
- Nha Be, Ho Chi Minh City
- Permanent
- Full-time
- Lead and manage the data-enabled projects and daily activities, with a focus on cloud platforms such as Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI). You will define project scopes, coordinate tasks, manage timelines, and ensure project goals are met.
- Hands-on Technical Contribution: Work directly with the team to build data pipelines, automation workflows, and integrated AI applications. This includes contributing to tasks such as data cleaning, processing, and analysis, leveraging AI-driven tools, including Generative AI and agentic AI tools, to enhance data analytics processes.
- Data Analytics Advisory: Provide expert technical consultation on data analysis and solution design for the team and relevant stakeholders.
- Stakeholder Communication: Act as the primary point of contact between the technical team and business stakeholders. You will translate complex business requirements into technical tasks and effectively communicate data-driven findings and insights to non-technical audiences.
- Data Literacy & Strategic Alignment: Collaborate with the department management team to drive the data literacy culture within the department. This includes setting the foundation for successful AI adoption and ensuring the team's efforts contribute directly to the company's Manufacturing 4.0 (MF4.0) initiatives.
- Requirements:
- At least 2-3 years of experience in data analysis, with some experience in a leadership or project coordination role.
- Strong practical experience with data languages and tools including SQL and Python.
- Hands-on experience working with Generative AI or agentic AI tools.
- Experience with building data-centric software or web-based applications.
- Excellent communication and presentation skills to effectively interact with both technical and non-technical audiences.
- An analytical and logical mindset with a proactive, problem-solving attitude.
- A team-oriented and self-motivated approach, with a passion for learning and adapting to new technologies.
- Preferred Qualifications:
- Background or coursework in manufacturing, industrial engineering, or supply chain.
- Hands-on experience working with Google APIs or integrating automation within Google Cloud is a strong advantage.
- Awareness of data security and privacy best practices.
- Experience with cloud platforms such as Google Cloud Platform (GCP) or Oracle Cloud Infrastructure (OCI) is a plus.