Kai Jin

Background

About Kai Jin

I am a results-driven Supply Chain and Logistics Professional with over a decade of experience in strategic sourcing, procurement, and process optimization across diverse industries. In addition to my supply chain expertise, I lead AI-driven digital transformation initiatives at Texas Instruments, where I manage end-to-end implementation of automation and analytics projects. My work focuses on identifying and deploying cutting-edge technologies that enhance operational visibility, streamline reporting, and enable predictive insights. By integrating AI into core business processes, I help drive innovation, mitigate risks, and support data-informed decision-making across global operations. In my current role as AI Digitization Project Lead at Texas Instruments, I manage and implement AI and digital transformation initiatives from planning through rollout. I lead the deployment of advanced automation, reporting, and data analysis technologies, while ensuring compliance, risk mitigation, and alignment with strategic business goals. Key Skills & Expertise: Supply Chain & Logistics Management: Procurement, inventory management, demand planning, and logistics. Data Analytics & Systems Expertise: Advanced skills in SAP, Oracle, SQL, Python, VBA/Macros, and visualization tools like Spotfire. Cost Reduction & Vendor Negotiation: Proven ability to benchmark costs, negotiate pricing, and deliver measurable savings. Project Management & Process Optimization: Driving operational excellence through cross-functional collaboration and system improvements. Bilingual in Mandarin & English with a global perspective on international business and supply chain operations. Certifications & Education: Stanford Machine Learning Certificate Master’s in Supply Chain Management (University of Texas at Dallas) Effective Negotiation Certification (Karrass) I am passionate about leveraging my skills to optimize supply chain processes, reduce costs, and deliver measurable business impact. Open to roles in supply chain leadership, procurement, logistics, and data-driven process optimization.