Five Years at WEFRA LIFE: What Have I Learned and What Changed in How I Lead?
Five years at a century-old healthcare company taught the author that the best leaders combine data-driven rigor with genuine empathy, treat rejection as information, and resist the urge to become a ceiling for emerging talent.

Five Years at WEFRA LIFE: What Have I Learned and What Changed in How I Lead?
The past five years at WEFRA LIFE delivered valuable experience and lessons I could not have gained elsewhere. After completion of my Executive MBA at Frankfurt School, I have had the experience of tackling many challenges from P&L management to raising talents, from speed of innovation and how to have an impactful leadership. So, I decided to document what I've learned for others facing the similar questions in their roles.
I'm Behind on Learning and That's the Honest Place to Be
I am behind. Not on a project, not on a deadline. Behind on learning. Looking back what I have known technically or theoretically 5 years ago feels incomplete and it is too scary to admit.
My father, a professor of architecture, taught me very early "Know more than you're required to know". This always pushed me to map the gaps of my knowledge. The most expensive mistakes start with blind spots you have not identified.
Our world came to a point where every week there's a new AI capability, a new framework, a new tool, a new approach... and someone on LinkedIn, who definitely had ChatGPT write the post, already calling themselves an expert in it.
That FOMO is a specific kind of anxiety, and I think only the people genuinely trying to understand the technology actually feel it. The ones most publicly confident about a topic, and lately about AI, are usually the least curious about it. My learning process has always been relatively manual, lots of reading and hands-on practice. AI accelerated my learning by making practice and experimentation faster.
Something I read recently made me think: people who lean on AI to learn end up understanding less than people who work through the material by hand. That is not an argument against AI. It's an argument for knowing the difference between using AI to think and using AI instead of thinking.
To every human reading this post of mine: keep thinking. Otherwise, we converge on the same output, constrained by the AI model’s understanding rather than our own.
A "No" Is Information, Not a Verdict
My first year in healthcare media produced more rejections than I care to count. The industry was solid on its own and new ideas and approaches were cautiously approached by many partners and clients.
What took me embarrassingly long is to understand: a "no" to a new idea is almost never the final word on that idea. It's timing information. It usually means one of us in the conversation wasn't ready.
Getting a "No" is more rewarding than getting a "Yes".
Every no sharpens the idea. It exposes constraints, weak assumptions, and missing evidence. A yes only confirms that the current version of the idea.
The real skill is deciding which rejection to examine and which to accept. No framework makes that call for you. Judgment comes from specific failures, repeated often enough to recognise the pattern.
Sometimes I reframed the idea, waited, rebuilt the case and eventually got the yes. Other times I kept pushing when I should have stopped. Both taught me to stay consistent on the ideas I believe in.
The Numbers Tell You What. Never Why.
My Master's education taught me something it never set out to teach me: You spend the program building a rigorous relationship with financial data, with P&L logic, with the language senior leadership actually speaks. That is genuinely useful and I use it constantly. But here's the line I keep coming back to:
P&L and data can tell you what is wrong. They can never tell you why.
A team's output drops. A segment underperforms. A process breaks in ways the numbers document with precision. The data shows you the fact of the problem. It doesn't show you the conversation two floors down that explains it: the manager who stopped listening six months ago, the person who left because they felt invisible, a young talent that never received good enough explanation from a line manager. Every financially literate leader hits that gap eventually. The ones who don't notice it confuse measuring the problem with understanding it.
Empathy isn't the opposite of rigor. It's the thing that tells you where to point the rigor. I practice over the last 5 years to use empathy to understand where to point that rigor.
Don't Be the Ceiling
The conversation about young talent starts too late. Tenure data, engagement scores, exit interviews all measure what has already happened. The better approach is to involve young talent earlier, while they can still shape the work and the institution.
A leader might have an instinct is to tighten everything because having the control is what keeps you calm as a leader. However, a better onboarding, clearer expectations, more structured feedback would go beyond a control. Make the environment more predictable. And here's the part I'm a little uncomfortable saying out loud:
it is scary, as a leader, when people do exactly what you ask. Because it means you have become the ceiling of what they can do.
The most valuable thing a young person brings is the thing you didn't ask for: the reframe, the question that exposes an assumption you stopped examining, the decision to do it differently because nobody told them they couldn't. When I over-manage, I don't get safety. I get compliance. And compliance feels like control, right up until the organization needs to change and finds out it forgot how.
Genuinely letting people fail is rarer than most leaders admit. A lot of "psychological safety" is really about looking tolerant of failure while quietly engineering it out. The honest version is harder, and it's the one that works.
Give young talent a voice early. Create room to question, test and fail. They will build your team, your company with their own peers for the next decade. Leadership should preserve curiosity and the confidence to act. The world already gives young talents enough reasons to hesitate. Don't feed into that.
Building Inside a 90+ Year House
I came into WEFRA LIFE as an outsider: a guy who came from another industry with some geeky skills. I do not yet have the generational experience, which is surely required, to keep a company relevant and leading for decades. That position is certainly earned through continuous reinvention and a long record of right decisions.
Building something lasting inside a house someone else built is its own kind of work. You have to understand what the company values before you propose changing any of it. You have to earn trust and be right about that pace of innovation.
What I didn't expect was how much it would come to mean to me. Being part of a family company and seeing your fingerprints in the heritage is more fulfilling than any corporate life I've had.
I've seen places where the goal was always one more quarter, one more cycle, one more "reorganisation" away. Here the math is different. The decisions I make this year are still going to be visible five years from now. In the relationships we keep, the capabilities we built, the people who grew up inside this structure. That is a slower and more demanding kind of accountability than any quarterly review.
And none of it was solo. Five years of this is five years of a team that work alongside me, a company that backed ideas before they were proven, and people who pushed me further than I would have gone on my own. I'm grateful to all of them.
Five years in, I am still learning how to learn. Still doing my best to help anyone. Still closing the gap between what the data says and what the room is actually saying. Still figuring out when to shape the work and when to get out of its way.
At WEFRA LIFE, we dare to reimagine our work, who we are, and how we help our clients and each other. We have done it for more than 90 years. We will do it again on the way to 100, being the driving force in healthcare business.
Stay curious.