Talent Management

Data is invaluable, but working with it doesn’t always feel meaningful. Four strategies can help make data work more engaging.

Without traditional credentials, established networks, or experts’ stamp of approval, the outsider’s journey is often uphill: Along the path to the Nobel, Karikó was demoted and kicked out of her lab space at the University of Pennsylvania, and she was actively discouraged from pursuing work on mRNA.

For job seekers, there’s the danger of being inadvertently filtered out due to rigid algorithms that might not recognize unconventional career paths or diverse experiences. Automation might also limit their ability to showcase their personality and soft skills.

Talent management software promises efficiency and objectivity, but in practice it can limit company-specific talent strategies.

As we kick off a new year, what are the handful of skills leaders must have to navigate a tricky moment in the history of human work? And what does research tell us about how to build those leadership skills?