About the role
Led a 9-member AI team to build and deploy predictive analytics and ML models, achieving $2.5M in annual savings through optimized supply chain operations. Transitioned AI models from vendor dependency to in-house capabilities, securing full stakeholder confidence and cutting external costs. Boosted business adoption by 82% and increased annual revenue by 65% through strategic business and technical approaches. Strengthened ML governance and best practices, reducing incorrect auto-orders by 90% and improving shipment and route optimization to 93% efficiency. Led a zero-downtime AI/ML platform migration to Databricks, aligning with organizational cloud standards. Transformed the AI product into a fully managed solution, implementing product management best practices, establishing support teams, enhancing security, and addressing technical debt, ensuring long-term scalability and adoption
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