Director, Skills Intelligence & Learning Experiences | US

About the Role

We are looking for a strategic product leader to own Skills Intelligence and Learning Experiences at Degreed: the intelligence layer that defines what a skill is and how proficiency is measured, and the learning experiences that turn that intelligence into real capability growth.

This role is built for a product manager who has shipped learning platforms at scale and knows what it takes to help people actually learn. You understand the difference between content a learner clicks through and a program that changes what someone can do. You have built the systems that recommend the next right thing, structure a path toward a goal, and demonstrate that a skill was developed rather than simply consumed. Learner outcomes are the point, and you keep them at the center of every decision.

Underneath those experiences sits Degreed's skills data model: the foundation that defines what a skill is, how proficiency is measured, and how that information powers AI, learning experiences, and enterprise workflows across the product. You will own that foundation as well, and you will treat it as a long-lived system rather than a collection of features. Success comes from a skills model that becomes more useful over time, supports new products without constant rework, and gives customers confidence that the data behind it can be trusted.

The role owns both halves of the loop: the intelligence that makes learning relevant, and the learning experiences where learners discover, develop, and demonstrate new skills. The strongest candidate is fluent in both and insists that neither works without the other.

Key Skills

• Learning product leadership. You have shipped learning platforms or learning products that measurably helped people build skills, and you can point to the outcomes, not just the launches. You lead with both the learner and the enterprise buyer in mind, and you translate each into product decisions.
• Enterprise learning fluency. You understand how large organizations structure learning: academies, certifications, career paths, and cohort-based programs. You can translate those models into product decisions that hold up across very different customers.
• Assessment design. You can define proficiency scales with clear, observable distinctions between levels, and explain those distinctions to customers when challenged. A background in psychometrics or learning assessment is a strong advantage.
• Taxonomy design depth. You have built classification systems that stay useful as domains evolve. You are familiar with frameworks such as O*NET and ESCO, and you understand how AI-based skill matching depends on taxonomy quality.
• Data product mindset. You have managed structured data with clear ownership, versioning, quality standards, and well-defined interfaces for downstream consumers.
• Long-term systems thinking. You