Lead advanced digital and rental analytics using GA4, BigQuery, Python, and SQL. Analyze clickstream data, customer journeys, conversion funnels, attribution, and site performance to improve revenue and customer growth. Define KPIs, develop analytics roadmaps, apply statistical and machine learning methods, establish data governance, and translate insights into recommendations. Collaborate with senior leaders, product owners, strategy teams, and technical stakeholders while supporting scalable measurement solutions and data-driven product development.

Leads an AI Evaluation Engineering team responsible for validating generative AI products, including intelligent agents and digital assistants. Provides technical direction, manages team performance and development, owns product quality, and establishes engineering best practices. The role requires expertise in GenAI architecture, evaluation methodologies, observability, automated testing, cloud and edge environments, reliability, safety, RAG assessment, and human-in-the-loop validation.

Develop machine learning, deep learning, statistical, and Generative AI solutions using equipment and telematics data. Build models for anomaly detection, failure prediction, remaining useful life, and risk assessment. Support digital products through reliability monitoring, incident response, automation, connectivity planning, technical analysis, and performance optimization. Partner with engineers and data scientists on AI, analytics, IoT, and digital product initiatives.