Manager, Data Analytics & AI

Key responsibilities

• Own the D&A and AI roadmap and its alignment to serve the objective of the whole SVI Groups.
• Lead, coach and grow Business Intelligence, Data Engineering and AI Engineering.
• Own the data platform end to end: ingestion from SAP and shop-floor systems, warehouse and data mart modelling, data quality and master data alignment.
• Establish MLOps discipline — version control, model registry, monitoring, drift detection, retraining and rollback for every model in production.
• Define and enforce AI guardrails on every automated or semi-automated decision: approval thresholds, human-in-the-loop rules, full audit trail and kill switch.
• Report benefit realization against baseline to the IT Director.
• Manage cloud, licence and vendor spend within the approved investment budget.

Required qualifications

• Bachelor's or Master's in Computer Science, Data Science, Statistics, Engineering or related field.
• 10+ years total with at least 5 years leading a data, analytics or AI team of 8 or more.
• At least two AI or advanced-analytics use cases running in a live business process, with quantified benefit the candidate can defend.
• Strong technical base — SQL, Python, modern data warehouse or lakehouse, orchestration, ML frameworks.
• Experience sourcing data from an ERP, ideally SAP, including the reality of imperfect master data.
• Able to run delivery across multiple competing business sponsors without losing the priority order.
• Professional working English; Thai fluency preferred.

Preferred qualifications

• Manufacturing, EMS, semiconductor or electronics supply chain background.
• Demand forecasting, inventory optimisation, should-cost or quote profitability modelling.
• Enterprise LLM and agent applications including evaluation and cost control.
• Experience building a team from graduate hires.