'The Chief Data and Analytics Office is a team sport': Vanguard's Ryan Swann

Tearsheet Podcast: Exploring Financial Services Together

Welcome to the Tearsheet Podcast, where we explore the dynamic intersection of data, finance, technology, and innovation. I’m Tearsheet’s editor in chief, Zack Miller. In today's episode, we dive deep into the world of data-driven decision-making with Ryan Swann, the Chief Data and Analytics Officer at Vanguard. At Vanguard, Ryan leads the charge in leveraging data analytics, AI, and machine learning to empower investors towards financial success. With a career spanning over two decades in this evolving field, he shares invaluable insights on the transformational journey Vanguard has undergone in centralizing their data and analytics functions. In our conversation, Ryan unveiled the challenges and triumphs encountered along the path of centralization, shedding light on the pivotal role of aligning data strategies with the overarching business objectives. His vision of combining offensive strategies—such as hyper-personalization and Gen AI—with defensive approaches like privacy by design sets the stage for Vanguard's forward momentum in 2024. Join us as we explore the dynamic fusion of finance and data science through the lens of Ryan Swann, offering a wealth of expertise and foresight in Vanguard's data revolution. The big ideas 1. Centralization for Efficiency and Business Alignment "Yeah, initially, Vanguard had data and analytics teams across the business creating value, but we wanted to scale the use of data analytics... so that's where the impetus came to centralize." 2. Challenges of Centralization and Organizational Shifts "In a decentralized organization, data professionals see very little career pathing... As data and analytics become more integrated, it becomes harder to retain talent." 3. Balancing Centralization and Business Integration "We brought those organizations together but kept them co-located with the business... they still got that close touchpoint with the business." 4. Impact on Career Development and Talent Attraction "By centralizing in the CDO, those data analytics professionals now have a career path... it allows them to rotate into different parts of the business." 5. Diverse Talent and Its Impact on Innovation "Individuals from different backgrounds bring that knowledge into data science... you end up with solutions that you would have never thought of." 6. Value Creation and Cost Savings through Data Initiatives "Over the year, we had a number of initiatives across the organization... it's a combination of things, but it's coming together as an organization." 7. Vision for 2024: Convergence of Offensive and Defensive Data Strategies "Combining offensive strategies like hyper-personalization with defensive approaches like privacy by design... sets the stage for Vanguard's forward momentum."