Amit Moran
VP Data at Bluevine
VP of Data, with two decades of experience in data science and data engineering and over eight years of experience leading data-focused groups. Managing an awesome group of talented data scientists, data engineers and BI analysts, building the best financial platform for small businesses. Data is a key ingredient for companies in the Fintech world, and building the right data org goes hand in hand with delivering great results.
WATCH LIVE: JUNE 7 @ 10:40AM – 11:10AM ET
Beyond DS Teams – Why Fintech Companies Need a Data-org
Data organizations are critically important in fintech companies because these organizations are increasingly reliant on data-driven insights and technology to drive innovation and growth. By establishing a cohesive data strategy that aligns with their business goals, fintech companies can leverage the power of data to gain a competitive edge in the marketplace.
A well-designed data organization encompasses much more than data science teams. Bringing in Data Engineering, Data and ML Ops, and BI enables fintech companies to manage and optimize their data assets, ensuring that data is accurate, timely, and accessible to those who need it. Effective data governance, quality, integration, and analytics are essential to a thriving fintech data organization.
In addition, a robust data organization promotes collaboration between business and technology teams, fostering a culture of data-driven decision-making that can help drive growth and innovation. By breaking down data silos and establishing clear communication channels, fintech companies can leverage the expertise of both business and technology teams to extract the maximum value from their data assets.
This talk will discuss several possible data-org structures and will try to answer many structure and culture-related questions. Should data engineers be part of the data org? What about data analysts? How do you bridge the gap between the development org and the business units around the data-driven decision and ML-ops infrastructure? Does a single structure fit every company? Join this session to learn real-life lessons from over a decade of managing data organizations.