Sign In

Sebastian Urbina

Vice President - Artificial Intelligence, Machine Learning and Data Science Team at Genpact

Professional Background

Sebastian Urbina is an accomplished supply chain professional with over 10 years of experience in diverse industries including consumer packaged goods (CPG), automotive, retail, high tech, pharmaceutical, rental, life sciences, semiconductor, and industrial goods. His extensive background showcases his ability to tackle complex supply chain problems through an analytical lens. Sebastian has applied his expertise in operations research and statistics to create efficient solutions that drive transformative supply chain improvement for organizations.

Sebastian's career has seen him work with over 40 companies, implementing technology solutions that facilitate supply chain transformations across various sectors. His accomplishments in this area have made him a sought-after expert in the industry, continuously exploring innovative ways to leverage technology to optimize operations and improve profitability.

In addition to his hands-on experience, Sebastian has developed a deep understanding of supply chain science. He has successfully designed inventory optimization and profit-maximizing algorithms, effectively addressed network design optimization challenges, and developed comprehensive supply chain analytics and key performance indicators (KPIs). His expertise extends to advanced forecasting and demand planning where he has created custom machine learning and best-fit algorithms using programming languages such as R. This intersection of technology and supply chain management positions Sebastian as a leader in supply chain analytics, shaping the future of the field.

Sebastian's professional journey has spanned multiple continents, with work and residency in Europe, Asia, North America, and Latin America. This cross-cultural understanding has enriched his perspective and ability to navigate complex challenges in a globalized environment. His extensive international experience equips him with unique insights that inform his strategic decision-making and collaborative approach to supply chain management.

Education and Achievements

Sebastian holds a Master’s degree in Industrial Engineering from the Georgia Institute of Technology and a Master's degree in Economics from McGill University. He also earned a Bachelor's degree in Industrial Engineering/Economics from Georgia Institute of Technology, demonstrating his strong foundational knowledge in both engineering principles and economic theory.

In addition to these achievements, Sebastian further enhanced his skill set by studying for a Master’s in Information and Data Science at the University of California, Berkeley. This educational background underscores his commitment to staying at the forefront of technology and analytics in the supply chain sector.

Throughout his career, Sebastian has held significant leadership roles, including currently serving as the Vice President of the Artificial Intelligence, Machine Learning, and Data Science Team at Genpact. His leadership at Genpact is instrumental in guiding advanced data-driven strategies that improve supply chain processes. Prior to this role, he was a Director at Barkawi Management Consultants, where he honed his consulting skills and provided strategic insights to various organizations.

Sebastian also served as the Viceministro de Transportes y Seguridad Vial at the Ministerio de Obras Públicas y Transportes, allowing him to impact public policy and transportation logistics at a governmental level. His earlier roles include serving as a Manager at Barkawi Management Consultants and a Director at the Trade, Innovation and Productivity (TIP) Center at Georgia Institute of Technology. Additionally, he has experience as a Product Manager at Servigistics and as an Associate Consultant at Openwave Systems, contributing to a well-rounded understanding of product and operational strategies.

Achievements

Sebastian Urbina's career is marked by notable achievements, with a focus on innovation and excellence in supply chain management. His development of advanced algorithms for inventory optimization and profit maximization reflects his ability to blend technical expertise with practical applications, significantly enhancing operational efficiencies for employers. His prowess in data science has led to the creation of custom machine learning models that not only streamline forecasting processes but also respond dynamically to changing market conditions.

His leadership has profoundly influenced supply chain transformation in organizations, leveraging technology and data analytics to drive improvements. His work on network design optimization has provided companies with the tools they need to efficiently manage distribution and logistics, reducing costs and improving service levels.

Beyond his technical and analytical capabilities, Sebastian is recognized for his collaborative approach, fostering teamwork across cultural and organizational boundaries. His ability to communicate effectively and work strategically with diverse teams makes him an invaluable asset to any organization. His global perspective, along with his strong educational background, allows him to tackle complex supply chain issues from multiple angles, ensuring comprehensive, high-quality solutions that drive success.

Related Questions

How did Sebastian Urbina develop his expertise in operations research and statistics within the supply chain industry?
What are some of the key challenges Sebastian Urbina has faced in implementing technology transformations in supply chains?
Can Sebastian Urbina share insights into his experience living and working across different continents and its impact on his professional outlook?
What inspired Sebastian Urbina to pursue advanced degrees in Industrial Engineering, Economics, and Data Science?
How does Sebastian Urbina leverage his cross-cultural understanding to solve complex supply chain problems?
What role does Sebastian Urbina believe artificial intelligence and machine learning will play in the future of supply chain management?
S
Add to my network