Foxconn

Operations

• Lead daily operations of the repair and refurbishment plant
• Directly managing Production and Warehouse Supervisors to ensure seamless execution from receiving to delivery
• Focus on site-wide resource optimization and infrastructure efficiency across multiple customer accounts
• Ensure all projects meet Customer turnaround time and strategic goals through leadership and robust teamwork
• Review daily, weekly, and monthly production plans with Production Planning
• Direct warehouse strategies to ensure inventory integrity and optimized space utilization
• Oversee new product introductions to secure smooth transitions
• Collaborate across departments to align operational strategies
• Mentor production and warehouse supervisors and workforce optimization to drive accountability and cross-training

Operations Manager

Data Scientist

• Design, build and maintain end-to-end data science and GenAI solutions for manufacturing use cases, from problem framing and data exploration through model development, validation, deployment and monitoring.
• Develop and operationalize GenAI and LLM-based applications for industrial scenarios, such as: Natural-language copilots for process engineers and operators to query production, quality and equipment data; Work-instruction and SOP assistants that summarize and personalize procedures by product, line or station; Root-cause and anomaly analysis assistants that explain out-of-control conditions and suggest likely causes; NL-driven maintenance and quality-report generators that transform logs and sensor data into clear narratives.
• Implement natural-language–based data analytics and data modeling workflows that convert user questions into reproducible analyses (e.g., auto-generated SQL / queries, model runs, dashboards) and return interpretable results aligned with KPIs such as yield, scrap, downtime and OEE.
• Work with structured and unstructured data from diverse factory and enterprise sources (MES, ERP, sensor/IoT data, images, PDFs and logs), including data ingestion, cleaning, feature engineering and data quality checks.
• Build and refine GenAI workflows including prompt design, retrieval-augmented generation (RAG), vector search, tool-calling and guardrails, with a focus on safety, reliability, latency and explainability in production settings.
• Collaborate with software engineers and architects to integrate ML and GenAI models into backend services and the Smart Manufacturing Platform, supporting API design, performance tuning and lifecycle management.
• Participate in planning and roadmap discussions for AI initiatives: help define scope, technical approach, success metrics, data requirements and deployment plans across multiple plants and product lines.
• Create clear documentation, technical reports and reusable code artifacts so that solutions can be supported, scaled, and transferred to other teams or sites Engage with cross-functional stakeholders (manufacturing, operations, quality, IT, business teams) to understand needs, prioritize opportunities and present findings and recommendations to both technical and non-technical audiences.
• Stay current with advancements in data science, machine learning and GenAI (models, frameworks, tooling, MLOps/LLMOps) and share best practices within the team.
• Perform other duties and responsibilities as required or requested.

Human Resources

• Lead and manage regional HR operations
• Develop and execute talent acquisition strategies
• Provide guidance and support to local HR teams
• Oversee compliance with labor laws and internal policies
• Collaborate with senior leadership on employee development programs
• Analyze regional HR metrics and prepare reports
• Drive initiatives that enhance employee engagement and diversity

Operations Manager

Data Scientist

Regional Human Resource Manager