Key Responsibilities:

Leadership and Strategy:

• Lead and expand the IT team which includes Developers, BI Developers, and Data Analysts.
• Develop and implement a comprehensive data and IT strategy that aligns with the company’s overall objectives.
• Collaborate with executives and stakeholders across different business units to identify opportunities for leveraging company data to drive business solutions.

Data Management and Analysis:

• Oversee the design and maintenance of the centralized data system to ensure stability, scalability, and security.
• Manage the collection, validation, and analysis of data to ensure accuracy and integrity.
• Translate complex data findings into clear insights and actionable strategies.

AI and Machine Learning Development:

• Spearhead the development and deployment of AI and machine learning models to address specific business challenges.
• Stay updated with current AI trends and technologies and assess their viability for adoption within the company.
• Provide technical leadership in integrating AI solutions across various business units to improve efficiencies and outcomes.

IT and Development Oversight:

• Lead and manage the IT team responsible for software development, business intelligence, and data analysis.
• Ensure the development of robust IT solutions that support data-driven initiatives and business operations.
• Promote a collaborative environment among developers, BI developers, data analysts, and data scientists to foster innovation and efficiency.

Project Management:

• Plan and execute data and IT-related projects from conception to implementation, ensuring they are delivered on time, within scope, and budget.
• Foster collaboration between IT and data professionals, along with business unit leaders, to ensure seamless execution of projects.

Reporting and Communication:

• Regularly present updates to senior management about the status, progress, and results of data and IT initiatives.
• Create a culture of data-driven decision making by promoting data literacy among employees and stakeholders.

Qualifications:

• Bachelor's, Master’s or PhD in Data Science, Computer Science, Statistics, or a related field.
• At least 5 years of experience in a data science role with a focus on data cleansing, predictive modeling, and optimization projects.
• Proven experience in a managerial role within a data science and IT environment.
• Extensive experience with database management, data processing, data analytics, and IT development.
• Strong background in AI and machine learning, including hands-on experience with model development and deployment.
• Excellent leadership and communication skills, capable of managing diverse teams and collaborating with various business units.
• Fluent in English and Thai.
• Open-minded.