Semantic Leverage | Albert Mangahas (Roo.vet)

In this episode of The Data Storytellers Podcast, we speak with Albert Mangahas, a data and analytics leader now at Roo.vet. Albert shares how his path from industrial engineering and SQL led him into data leadership roles across PwC, Green Dot, Facebook, Turo, and now Roo.vet. We explore how trust in data became a foundation of Albert’s career, how marketplaces like Turo balance supply, demand, safety, and user experience, and what it takes to scale data teams through rapid growth and crisis. Albert also discusses his time at Facebook, the challenge of measuring complex platform harms, how Turo navigated the pandemic, and why the real opportunity with AI may be less about replacing people and more about scaling better business insight. Connect with us: Website:⁠ https://thedatastorytellers.com/⁠ LinkedIn:⁠   / the-data-storytellers⁠   Apple Podcast:⁠ https://podcasts.apple.com/gb/podcast... Spotify:⁠ https://open.spotify.com/show/2N0vZtH... YouTube:⁠ https://www.youtube.com/channel/UCz9e... Chapters: 00:00: Introduction and Albert’s first time in Vancouver 01:50: From computer science to industrial engineering 03:50: The SQL class that sparked Albert’s interest in data 06:04: PwC, auditing, and building trust in data 13:36: Moving into retail fintech at Green Dot 17:28: Mobile banking, underbanked customers, and Instant Pay 20:11: From BI reporting to analytics, finance, and FP&A 21:57: Joining Turo and taking on analytics, FP&A, and fundraising 26:43: The Turo business model and the case for peer-to-peer car sharing 34:39: How two-sided marketplaces balance supply and demand 40:14: Trust, safety, insurance, and managing marketplace risk 45:53: Facebook, Cambridge Analytica, and data transparency 48:42: Leadership, influence, and measuring complex platform problems 57:46: Why Albert returned to Turo 58:57: COVID, travel shutdowns, and wartime data leadership 1:06:15: Profitability, supply growth, and marketplace resilience 1:09:07: AI, trust, and the future of business decision-making