Description
Roche, is one of the world’s largest biotech companies, as well as a leading provider of in-vitro diagnostics and a global supplier of transformative innovative solutions across major disease areas. Over the past few years, they’ve undergone a migration to the cloud, adopted a modern data stack and implemented data mesh in order to double down on improving data reliability.
Join the data team at Roche to learn how they’ve leveraged data observability to support their sociotechnical shift to data mesh. They walk through their multi-year data observability journey, digging into how they implemented Monte Carlo in a global organization. They’ll also share their approach to data mesh at Roche and deep dive into a current use case.

Santosh K Sivan, Data Architect - Roche
Santosh Sivan is a Data Architect at Roche, currently leading Data Mesh implementation for Finance, Procurement, Safety, Sustainability among various domains for Roche globally. He used to lead the regional data services team and served as a community leader in APAC for the Informatics department. His work focused on driving transformative platforms data and advanced analytics across APAC. With close to 2 decades of data industry experience, Santosh is passionate about solving complex challenges and engaging with diverse teams.

Roberto Münger, Global Data Engineer - Roche
Roberto is a Global Data Engineer at Roche, known for his passion in community building and innovation in data governance. He leads the Global Manufacturing Domain Community of Data Engineers and pioneered a cross-domain Data Governance Collective to drive collaboration and efficiency. Roberto has also been recognized by his team for innovative, impactful contributions to their data mesh architecture.

Hendrik Serruys, Data Engineer - Roche
Hendrik is a highly motivated and skilled data engineer at Roche with over three years of experience in designing, developing, and deploying data solutions. He excels at working with cloud platforms, big data processing technologies, and data storage, and has strong analytical skills, programming abilities and experience in data modeling, ETL, and data visualization.

Harvey Robson, Global Product Owner- Data Quality and Observability - Roche