Degreed has appointed Elizabeth Tan Levy as Chief Product Officer. She joins from The Burning Glass Institute.
Tan Levy will lead Degreed's global product organisation, overseeing platform strategy, product development and the continued development of Maestro, its artificial intelligence product focused on skills and learning.
The appointment comes as Degreed places greater emphasis on skills intelligence and the AI systems it believes are needed to turn workforce data into action within employer software.
Chief Executive Officer David Blake said Degreed is building a platform that goes beyond reporting on workforce skills. Employers, he said, want both detailed skills data and stronger AI tools to help them understand and use that information at scale.
"We're building toward a future where skills intelligence isn't just something you report on, it's something your platform acts on," Blake said. "Companies need depth in the skills layer, and sophistication in the AI layer. They need now to understand, measure, and act on skills intelligence at scale. Liz has spent her career building exactly that kind of capability. Her background in workforce data and AI-enabled product is exactly what this next chapter of Degreed's roadmap demands."
Before joining Degreed, Tan Levy led the development of an AI-enabled research and data team at The Burning Glass Institute, known for its work on skills and workforce intelligence. Earlier in her career, she worked at Lightcast, where she helped build workforce analytics products used by businesses, governments and educational institutions.
She also held roles at Reed Elsevier, developing personalised learning and content discovery products. The experience spans labour market data, product strategy and digital learning, three areas that are increasingly converging as companies look for clearer ways to assess workforce readiness.
AI and Skills
Maestro sits at the centre of Degreed's strategy to create what it describes as a living skills profile for workers and organisations. The aim is to combine learning records, skills data and other indicators of development into a system employers can use to track and shape workforce capability.
Degreed argues that AI is changing how employers identify skills gaps, match workers to learning opportunities and measure progress. In that environment, product leadership has become more important for software providers trying to connect data, training content and internal talent decisions.
Tan Levy described Degreed as a company built around the idea that people should not be limited by their starting point. She said AI is reshaping how companies develop talent and argued that Degreed holds a central position in learning and skills data.
"Degreed was built on the belief I've always held: that where you started shouldn't define where you end up," Tan Levy said. "AI is reinventing how companies build talent-and Degreed sits at the center of it. What's the ground truth for skills, learning, and capability? It's Degreed, where learning records, skill graphs, and growth signals live. I'm here to build on that foundation and make it sharper, faster and more actionable in an agentic future of learning."
Product Focus
Her appointment highlights how learning technology companies are increasingly hiring senior executives with backgrounds in both workforce data and AI product design. Employers have been under pressure to show that spending on training leads to measurable improvements in skills, mobility and performance.
For Degreed, that means expanding beyond its roots in learning experience software into the broader skills intelligence market. Its messaging centres on helping employers understand what skills their workers have, where gaps exist and what development steps might address them.
Tan Levy's move also reflects a wider shift in the HR technology sector, where vendors are trying to combine learning platforms with data layers that map employee skills, career pathways and organisational needs. The goal is to make those systems more useful to managers and workers making decisions about hiring, development and internal mobility.
Blake said Degreed's next phase depends on linking a strong skills layer with more advanced AI tools. "Companies need depth in the skills layer, and sophistication in the AI layer."