Yamin Groeninger is Chief Operating Officer for Group Digital & Technology at Swiss Re, where she leads enterprise-wide technology strategy and transformation. Over more than a decade in global insurance and consulting, she has built a reputation for hands-on leadership—guiding teams through complex change, navigating setbacks, and delivering impact in high-pressure environments.
Prior to Swiss Re, Yamin was a Managing Director and Partner at Boston Consulting Group, advising insurers across Asia on growth and operating model transformation. She also held multiple senior leadership roles at EY, where she drove strategy, innovation, and large-scale business development across EMEIA. Across her career, she has consistently combined sharp strategic thinking with pragmatic execution and a deep commitment to developing people.
Yamin is known as a genuine and grounded leader—bold yet thoughtful, fact-driven yet empathetic—who challenges with respect and leads with both head and heart. She invests deeply in her teams and believes that lasting impact is created together, especially in times of uncertainty and change.
A Guest Lecturer at the University of St. Gallen, she remains passionate about shaping the future of the industry. Ethnically Chinese and a citizen of Switzerland and Germany, Yamin brings a global mindset shaped by experiences across cultures and markets.
Beyond her professional roles, she is a proud mother and devoted wife. She sees her career not as a collection of titles, but as a journey defined by the people she has grown with and the impact they have created together.
AI as the turbo charger, for the good and for the bad.
Every company today is standing in the same storm. AI is a new weather system that amplifies who creates value and who is becoming a bureaucratic machine. It takes whatever was already true about an organization and makes it louder, faster, and harder to hide.
AI exposes dysfunction that was already there, and had simply been slow enough, or quiet enough, to survive.
The leader who chases the boss’s last choice of word instead of defending the right answer.
The expert who quotes an instruction line by line because trusting their own judgment has become the riskier move.
The organization that replaced “is this the right decision” with “did we follow the right process,” one policy at a time, until risk management quietly became the actual purpose of the company.
None of these are AI problems. They are judgment problems, status problems, survival instincts dressed up as professionalism. AI simply removes the places they used to hide.
This is the enterprise tension nobody wants to name out loud. AI is a turbo charger, and it does not discriminate between what it accelerates. It amplifies genuine value creation in the same breath it amplifies bureaucratic dysfunction, whichever one an organization has more of, running faster, at greater scale, with less time to course correct.
For decades, a hierarchy’s real job was moving information up and decisions down, a structure built, almost literally, for an age before instant communication. AI collapses that distance. Information no longer needs six layers of managers to travel from the front line to the top. That is bad news for big, matrixed corporates and the middle management layer built to carry messages rather than make calls, because the one justification for their seniority is disappearing in real time, and what is left behind it, in too many cases, is a management structure whose real output had already quietly become process rather than performance.
Same storm, because every leader in this room is facing the identical shift. Different destiny, because what determines who comes out the other side intact is not the technology. It is whether your organization still rewards the person who is right, or only the person who is safe.
