Teams at Nissan Motor Corporation

Design, build, and maintain batch and streaming data pipelines; ingest, transform, and optimize data for analytics and BI; ensure data quality, reliability, and performance; implement monitoring/alerting; support MLOps and analytics workloads; collaborate with data scientists and BI teams; document AI systems and RAG/Cortex-based solutions.

Coordinates new model launches and running changes across supply chain, purchasing, engineering, inventory, and related departments. Develops launch timelines, manages part registration and initial supplier orders, tracks milestones, coordinates meetings, supports delivery judgment activities, and produces performance reports for parts availability. Maintains process documentation and identifies continuous improvement opportunities.

Lead mid- and long-term volume and financial planning, sales and EV forecasting, GHG emissions and ZEV compliance analysis, and product life-cycle expense planning. Develop and maintain predictive and financial simulation models, create executive-ready reporting and dashboards, and partner cross-functionally to align planning inputs and support strategic decision-making.