Specialist, PMO MITD & Data Excellence

About the Role

To transform manufacturing and operational data into actionable insights by developing robust data models, dashboards, and analytics solutions. The role supports data-driven decision making, ensures data governance compliance, and enables PMO & Data Excellence initiatives across production and engineering functions.

Key Responsibilities

• Analyze manufacturing, quality, operational data, and product development data to identify trends, patterns, and improvement opportunities
• Develop dashboards and reports (e.g., Power BI/Tableau) for real-time performance monitoring
• Ensure data accuracy, consistency, and compliance with company data standards
• Define and maintain data structures, data models, and quality data structure.
• Collaborate with IT/OT teams to improve data pipelines and system integration
• Ensure PDPA and internal policy compliance
• Provide analytics support for improvement initiatives, tracking (project performance, KPI monitoring, ROI tracking)
• Develop standardized reporting frameworks for strategic initiatives (e.g., automation, AI, cost reduction)
• Support strategic initiative feasibility/ business case development with data-driven insights
• Apply statistical methods and basic machine learning models for forecasting and optimization
• Support AI/automation projects by preparing and validating datasets
• Contribute to building a scalable data ecosystem (e.g., data lake, cloud platforms)
• Work closely with Production, Quality, Engineering, Product Development, Finance and IT dev. teams,
• Translate business problems into data analytics solutions
• Support stakeholder decision-making through clear data storytelling

Qualification

• Bachelor’s Degree or higher in Engineering, Data Science, AI, Applied Math, Computer Engineering, Computer Science or other related fields.
• Strong skills in data analysis (SQL, Python, Power BI/Tableau)
• Understanding of data modeling, Extract, Transform, Load processes, and database structures
• Experience in manufacturing or operations data analysis
• Knowledge of statistical analysis and problem-solving techniques
• Ability to translate data into business insights and recommendations
• Experience with cloud platforms (Azure, Databricks, Fabric)
• Exposure to AI/ML or predictive analytics use cases
• Familiarity with data governance frameworks
• Experience supporting PMO or transformation projects
• Proficiency in Python programming for AI/ML development
• Experience in data handling and analysis tools (e.g., NumPy, Pandas)
• Basic understanding of databases (SQL, SparkSQL) for data storage and retrieval
• Experience with version control systems (e.g., Git)
• Familiarity with model deployment concepts (e.g., API integration, edge devices, or cloud platforms)

Professional (Nice-to-have)

• Hands-on experience in real-world Computer Vision or AI/ML projects
• Experience working with large-scale or complex datasets
• Understanding of system integration concepts (e.g., connecting models with applications or hardware)
• Familiarity with MLOps concepts (e.g., model versioning, monitoring, retraining pipelines)
• Experience working in cross-functional teams (e.g., engineering, product, or research)
• Experience collaborating with external partners, universities, or research organizations
• Understanding of domain-specific applications (e.g., manufacturing, healthcare, retail, or smart cities)