5 essential data skills every HR leader needs in an AI era

This Week’s Insight: Building Data Skills for the AI Era

As organizations embrace AI and large language models (LLMs), HR leaders must proactively develop five essential data skill areas to future-proof the workforce:

1. Recognizing Unique Data Assets – Understand what proprietary data your organization has and how to leverage it for AI differentiation.
2. Ethics & Compliance in AI – Operationalize responsible AI use through frameworks, governance, and regulatory awareness.
3. Basic Statistical Literacy – Equip all employees with foundational data interpretation skills to boost decision quality.
4. Managing Data Quality Risks – Train teams to assess and improve data reliability, reducing costly errors.
5. Embedding a Metrics Culture – Foster a workplace where decisions are consistently guided by data and KPIs.

These priorities are based on leading insights from MIT, WEF, and Draup’s proprietary research.

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