The evolving role of the CDO in the AI era

Chief Data Officers face expanding expectations in the AI era, with their role centered on ensuring data access, creating valuable data products, and governing data responsibly, while the average tenure remains about 30 months. The piece argues that unclear mandates, overlapping responsibilities with other technology executives, and poorly defined measures of success often create more difficulty than technical challenges. It recommends explicitly linking the CDO mandate to business-focused OKRs and KPIs covering AI-ready data coverage, delivery speed, product adoption and value, and governance outcomes. Rather than pursuing a rigid or comprehensive infrastructure transformation, organizations should begin with a high-value use case and iteratively develop reusable capabilities in data cataloging, ownership, access control, integration, modeling, observability, semantic context, and open, interoperable data infrastructure. As AI systems require explicit, reliable context that human workers may infer from experience, centralized and well-governed data becomes increasingly important, and proposed AI initiatives should be evaluated for technical feasibility, economic viability, and legal, social, and organizational acceptability.

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