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Talent Acquisition In The Trenches  

Talent Acquisition In The Trenches

In this digital first world, the old ways of recruiting are becoming obsolete.

Author: Matt Rimer

In this digital first world, the old ways of recruiting are becoming obsolete. Or are they? The talent demands on every business has put TA squarely in the hot seat. Welcome to Talent Acquisition In The Trenches, a real dialogue podcast with talent acquisition pros closest to the front line. We want to talk to our peers who are actually doing the heavy lifting day in and day out.
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Language: en

Genres: Business, Careers, Health & Fitness, Medicine

Contact email: Get it

Feed URL: Get it

iTunes ID: Get it


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Episode 56: Jenny Cotie Kangas (JCK) - Unleashing the Power of Data with GBS Worldwide
Episode 56
Tuesday, 18 August, 2026

A rare COVID-19 complication in 2020 left Jenny Cotie Kangas (JCK) with total memory loss, and healthcare talent acquisition is better for it. In this episode of TA in the Trenches, RogueHire co-founder and COO Matt Rimer sits down with JCK, VP of Innovation at GBS Worldwide and a TA Tech 100 honoree, along with RogueHire's Digital and Recruiting Innovator, Ryan Affolter, to unpack how losing her "design bias" gave her a sharper, more data-driven way to diagnose what's actually broken in healthcare hiring.The conversation digs into why so many TA leaders chase vanity metrics like application volume instead of the signals that actually predict outcomes, such as quality of slate, candidate drop-off, and the true cost of inaction, and how JCK's mantra to "collect the dots to connect the dots" helps teams separate real signal from noise. You'll hear why AI should be treated as a thought partner rather than an answer machine, how feeding it multiple leadership "personas" can sharpen a boardroom pitch, and why her upcoming book, Step Zero, argues that mapping your process has to come before you turn on any algorithm, because AI doesn't fix broken workflows, it scales them.For healthcare HR and talent acquisition leaders trying to trade gut-feel decisions for a data-grounded operation, this episode offers a practical framework for spotting design bias, choosing metrics that actually matter, and giving AI the context it needs before asking it to help solve your hardest hiring problems.

 

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