When SAP’s CEO talks about evolving customer needs and AI integration, it reads like standard corporate positioning. What caught our attention is the timing. Over the past quarter, our SAP consultants have taken on searches for roles that would have looked unfamiliar two years ago. Companies want someone who can sit between the SAP environment and an emerging AI layer, explaining to both sides what the other needs.
The shift is most visible in finance and supply chain functions. A Zurich-based manufacturer recently asked us to find an S/4HANA lead who could also evaluate which forecasting tasks should move to an AI model and which should stay in traditional planning. That requirement appeared nowhere in the original specification. It emerged after their third internal conversation about what the role would actually involve day to day.
At the senior consultant and solution architect level, the ability to hold a credible conversation about data pipelines has become a filter. One recent vacancy in Munich specified that candidates should be able to sketch a basic integration architecture on a whiteboard during the interview. The hiring manager told us he had seen too many SAP specialists freeze when asked how their system would feed a machine learning model.
The candidate pool for these hybrid roles is tight. Searches that assume the old skill profile run longer and land weaker shortlists. Companies offering the clearest path to AI-adjacent project work are pulling stronger applications, and the professionals who combine SAP fluency with genuine data literacy are pricing themselves accordingly. We placed a solution architect in Frankfurt last month whose package came in noticeably above what the same company paid for a comparable role eighteen months earlier.
Prompted by reporting from Diginomica.