Oscar is a leader in QuantumBlack, AI by McKinsey, focused on building digital solutions, assets, and tools for clients. He has deep expertise in applied AI, digital product engineering, agile software delivery, digital team building, and digital transformations. His focus centers on the cloud, big data, AI, open technologies, data analytics, data science, ERPs, serverless architecture, and microservices. He has served clients across numerous sectors, spanning healthcare, financial services, the public sector, retail, and heavy industry.
Oscar plays key roles in large-scale transformations across the dimensions of people, processes, and technology. His recent client experience includes the following:
- building a platform for a new mining business to ingest thousands of IoT sensors and apply advanced analytics for improved throughput and recovery
- enhancing the customer experience for an agricultural supplier by enabling smoother platform onboarding and cross-sell opportunities during a digital and analytics transformation
- building a digital organization for a major agricultural retailer by delivering a cloud system for big data and analytics, alongside core digital products that leverage a customer-backed approach to drive bottom-line growth
- migrating legacy IT to the modern cloud and instantiating hybrid-cloud solutions
- revamping technical capabilities in recruiting, interviewing, candidate selection, mentoring, and technical focus areas
Outside of his work at McKinsey, Oscar is passionate about open-source technologies and the web as a platform, frequently speaking at international tech conferences and having coauthored a book on cartography and JavaScript. Before joining McKinsey, he helped build GE’s knowledge base systems as a full-stack engineer. He holds a bachelor's degree in computer science with a major in virtual reality.