Paper Number

ECIS2026-1316

Paper Type

CRP

Abstract

This study investigates the emerging role of Chief Data Officers (CDOs) in the public sector by developing a typology that captures the heterogeneity of their functions. Drawing on a qualitative analysis of extant literature and expert interviews, the typology differentiates four CDO profiles, i.e., Data Infrastructure Manager, Civic Innovator, Data Evangelist, and Open Data Steward, along two dimensions: internal vs. external data orientation and strategic vs. operational focus. These types reflect distinct mandates required for data leadership in (smart) cities. The typology offers both diagnostic and normative value: it enables public managers to assess institutional gaps and supports role design suggestions when appointing or evolving CDO positions. While the typology abstracts from individual cases, it remains sensitive to contextual specificities, serving as a basis for theorizing data-driven public management. The study contributes to conceptual research in public administration and provides actionable guidance for municipalities navigating data governance and organizational change.

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Jun 14th, 12:00 AM

A Typology Of City-Level Chief Data Officers In The Public Sector

This study investigates the emerging role of Chief Data Officers (CDOs) in the public sector by developing a typology that captures the heterogeneity of their functions. Drawing on a qualitative analysis of extant literature and expert interviews, the typology differentiates four CDO profiles, i.e., Data Infrastructure Manager, Civic Innovator, Data Evangelist, and Open Data Steward, along two dimensions: internal vs. external data orientation and strategic vs. operational focus. These types reflect distinct mandates required for data leadership in (smart) cities. The typology offers both diagnostic and normative value: it enables public managers to assess institutional gaps and supports role design suggestions when appointing or evolving CDO positions. While the typology abstracts from individual cases, it remains sensitive to contextual specificities, serving as a basis for theorizing data-driven public management. The study contributes to conceptual research in public administration and provides actionable guidance for municipalities navigating data governance and organizational change.

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