Specialist, PMO MITD & Data Excellence

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

Data Analytics & Insight Generation

• 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

Data Management & Governance

• 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

PMO & Project Analytics Support

• 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

Advanced Analytics & Digital Enablement

• 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)

Cross-functional Collaboration

• 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.
• Pivotal (Must-have)
  • • 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)