Build and deploy predictive, forecasting, pricing, promotion, and machine learning models using large-scale retail data. Apply statistical modeling, causal inference, and experimentation to support demand forecasting, inventory planning, merchandising, and supply chain decisions. Partner with Product, Engineering, Analytics, and Business teams to define requirements, evaluate model performance, and translate complex findings into actionable recommendations and production-ready solutions.

Lead the development and implementation of Physical AI systems, focusing on robotics and computer vision, while optimizing data pipelines and supporting AI platforms. Collaborate with cross-functional teams and mentor other engineers to drive best practices.

Leads enterprise AI governance by developing responsible AI frameworks, policies, controls, and compliance processes. Partners with technology, data science, security, legal, and business teams to embed governance throughout the product lifecycle. Oversees AI risk management, regulatory alignment, training, monitoring, and continuous program improvement while building and managing a governance team.