This study examines career pathways within the Diversity, Equity, and Inclusion (DEI) profession across Australia and the United States, combining descriptive mapping with predictive modelling. Using a dataset of 1000 Australian and 915 United States LinkedIn profiles, we analyse sectoral flows, tenure patterns, and credentialing to identify structural features of DEI careers. Results reveal distinct national contexts: in Australia, DEI careers are anchored in NGO and government sectors, while in the United States, they are concentrated in corporate environments with strong exchanges between firms and academia. Across both countries, careers demonstrate strong intra-field persistence but rely heavily on adjacent entry points from Human Resources, Organisational Development, and Project Management. Predictive modelling using Logistic Regression, Random Forest, and XGBoost demonstrates exceptionally high performance (ROC-AUC 0.99 - 1.0; Average Precision 0.98 - 1.0), highlighting tenure stability, sectoral context, and professional credentialing (e.g., Certified Diversity Executive, Inclusive Leadership) as the most salient predictors of persistence. These findings suggest that DEI careers are not random but institutionally embedded and analytically predictable. Limitations include LinkedIn selection bias, classification sensitivity, and cross-sectional data. Future research should expand to longitudinal and cross-regional datasets, incorporating qualitative perspectives to complement predictive insights. This study contributes both comparative evidence and methodological innovation to the emerging scholarship on DEI careers.
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