Own data correctness and reliability from telematics device and third-party API ingestion through the landing zone. Investigate data issues using SQL and Python, perform root-cause analysis, build automated validation and quality gates, establish observability and SLAs, define data contracts, and drive permanent fixes across engineering, platform, vendors, and firmware teams. The role also extends into ML and GenAI data validation, drift monitoring, and cross-product consistency.

Senior individual contributor owning end-to-end ML projects: problem framing, large-scale data pipelines, modeling (classical, survival, deep learning, LLMs/agentic flows), deployment, monitoring, evaluation, and stakeholder communication. Deliver reliable production systems, investigate failures, and mentor peers.