A Zurich-based industrial client ran a successful AI pilot inside their S/4HANA environment last year. The results were solid: faster invoice matching, fewer exceptions, better cash flow visibility. When they came to us in March, the mandate had changed entirely. They no longer needed someone to prove the concept. They needed someone to embed AI-driven actions across procurement, logistics, and finance simultaneously.
That search took us four months. The difficulty was finding someone who could translate between the data science team building the models and the process owners who would live with the outputs. The successful candidate had spent three years running S/4HANA implementations and another two working adjacent to a machine learning function. She understood why a recommendation engine that worked in testing would fail when procurement managers ignored its suggestions.
SAP’s messaging around AI moving from answers to action reflects what we see in hiring conversations across the DACH region. The pilot phase filtered for curiosity and technical comfort. The scaling phase filters for something harder to find: operational credibility with business stakeholders combined with enough AI literacy to challenge the data team’s assumptions. Companies are discovering that the person who championed the pilot is rarely the person who can negotiate its adoption across five departments with competing priorities.
Candidates building careers in SAP transformation should note what the strongest mandates now specify: demonstrated experience bridging technical and commercial conversations, with at least one completed rollout where you owned the stakeholder resistance. A portfolio of successful pilots is less compelling than one messy, completed rollout where adoption was your problem to solve.
Prompted by reporting from SAP News Centre.