How People Analytics and Science Powers Amazon’s Global Hiring Engine (an Interview with Ashish Parulekar)

What does it take to scale talent acquisition at one of the world’s largest companies? When hiring spans hundreds of thousands of roles - from warehouses to tech hubs - the answer isn’t just more recruiters. It’s smarter systems, better data, and deep analytics. In this episode, David Green is joined by Ashish Parulekar, Director of Data Science and Global Head of Talent Acquisition Analytics at Amazon, to explore how one of the most complex hiring engines in the world runs on data-led decisions. Join them as they uncover:  How Amazon balances cost, speed, quality, and fairness in hiring The tools and tech optimising high-volume and corporate recruitment The various ways to assess top talent without bias The evolving role of people analytics in unlocking productivity What skills matter most in this growing field of people analytics  And how to avoid the trap of “data theatre” in early-stage analytics functions Whether you're scaling a global team or building a people analytics capability from the ground up, this episode, sponsored by Worklytics, is packed with practical insight and strategic takeaways. Worklytics helps leaders understand how work actually happens with data-driven insights into collaboration, productivity, and AI adoption. By analysing real work patterns - from meetings to tool usage - they empower teams to work smarter, not harder. And here’s something special: Worklytics is offering Digital HR Leaders listeners a complimentary AI adoption assessment to understand how your teams are really using AI - and where untapped potential lies. But don’t wait - spots are limited. Learn more at worklytics.co/ai  Hosted on Acast. See acast.com/privacy for more information.