Specialist, PMO & Data Excellence (Manufacturing Innovation)

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)