Discover. Engage. Win: How to Build a Talent Discovery Engine that Wins the War for People

Discover. Engage. Win.: A Strategic Playbook for Building Authentic Connection in the Age of AIIn an era when artificial intelligence is accelerating every stage of the recruiting process, talent acquisition leaders face a defining challenge: how do you leverage technology without losing the human connection that drives lasting organizational success? Discover. Engage. Win. offers a decisive answer - and a complete blueprint for building the talent function of 2030.Zachary Lawrence Harper, a global talent leader with experience guiding Fortune 500 organizations, draws on fifteen years in the field - and hard-won personal lessons - to present a practical framework for transforming talent acquisition from a reactive service function into a proactive competitive advantage. Harper argues that AI should eliminate friction and noise, freeing recruiters to do what no algorithm can: build genuine relationships, understand human potential, and create communities where talent thrives.At the core of the book is Harper's Circular Talent Discovery Model, a departure from the conventional post-screen-interview-hire pipeline. The model is built around four actionable pillars: Market Intelligence, which equips leaders to anticipate the talent landscape before needs become urgent; Predictive Modeling, which enables proactive pipeline-building six to twelve months ahead of open roles; Candidate Communities, which shift organizations from resume databases to engaged, living talent networks; and Pipeline Management, which ensures every relationship is nurtured with consistency and measurable intent.This is a book for HR executives, talent acquisition leaders, and recruiters who want to operate as strategic business partners rather than administrators - and for any leader who understands that competitive advantage ultimately comes down to people. Practical, visionary, and grounded in real-world experience, Discover. Engage. Win. delivers the mindset, models, and methods to build a talent function that is both high-tech and deeply human.

Pagina's: 110, Paperback, Edify Publishing