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TalentNeuron Taps Bledi Taska as Chief Data & Analytics Officer to Push Workforce AI Forward

TalentNeuron, the workforce intelligence and transformation company, has appointed Bledi Taska as its new Chief Data & Analytics Officer (CDAO). The move signals an aggressive push to expand the company’s AI-driven workforce analytics platform at a time when labor markets—and enterprise workforces—are in constant flux.

Taska will oversee TalentNeuron’s research, data science, and engineering groups, unifying them under a single strategy to accelerate product innovation. His mission: help organizations anticipate labor market disruptions, close skills gaps, and build future-ready talent strategies.

A Workforce Market in Upheaval

According to the World Economic Forum, 60% of companies expect to transform their businesses by 2030. That transformation hinges on having the right workforce mix—and predicting what skills will be in demand tomorrow. TalentNeuron, which differentiates itself by combining internal talent intelligence with external labor market data, is betting that more enterprises will turn to predictive AI-driven insights to guide workforce planning.

“Bledi’s rare combination of economic and labor market expertise, paired with visionary technical leadership, enhances our ability to leverage our best-in-market data assets in entirely new ways,” said Julie Peck, CEO of TalentNeuron. “He will work closely with our product and go-to-market teams to deliver solutions that help organizations identify, quantify, and tackle workforce disruptions.”

Taska’s Track Record

Taska is no stranger to labor economics or workforce AI. Most recently, he served as Head of Analytics at SkyHive (now part of Cornerstone OnDemand), where he built predictive workforce planning models. Before that, he spent nearly a decade as Chief Economist and EVP at Lightcast, where he led teams that pioneered real-time labor market analytics.

Earlier, as Chief Economist at Burning Glass Technologies, he helped define how labor market intelligence could be translated into enterprise workforce strategy. His academic background is equally strong: Taska holds a Ph.D. in economics from NYU, with research published in journals such as American Economic Review and Nature. His insights have been featured by The Economist, Financial Times, and The Wall Street Journal.

Why It Matters

Workforce analytics has evolved from backward-looking dashboards to predictive, AI-driven platforms that not only flag talent risks but prescribe solutions. That shift—from describing trends to shaping outcomes—is where Taska sees the field heading.

“The future of workforce intelligence goes beyond describing trends,” Taska said. “It’s about prescribing solutions that directly shape strategic business outcomes. TalentNeuron’s unified approach, combining predictive analytics, enterprise SaaS, and generative AI, uniquely positions us to empower organizations to proactively design their future workforce.”

With Taska on board, TalentNeuron is making a clear bet: the companies that win the workforce race won’t just track labor market trends—they’ll use data and AI to shape them.

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