StrongHer by StrongYes
Ms. Lytvyn began her career on a London trading floor and calls herself an architect, not of buildings, but of people. Her defining belief, after a decade spent redrawing how organisations work: most people problems aren’t people problems at all, and the leaders who last are the ones who design the system, then trust the human judgement no dashboard can measure.
Ms. Lytvyn, FCIPD, is a global HR leader and self-described architect of people structures, specialising in total reward, talent, organisational design and people analytics. She began her career in finance in London and now leads performance and reward at an ADQ portfolio company in financial services, based in Abu Dhabi.
Lytvyn did not set out to work in people. She set out to work in money. Her first job was a summer internship on the trading floor at Royal Bank of Scotland in London, she holds a degree in investment and financial risk management, and she had a full-time offer waiting in the bank’s asset-backed securities desk. A career in finance was the plan, and it was already underway. Then life intervened, she married, and the path bent. In 2013 she took her first full-time role instead as a consultant, in HR.
What she found there rearranged her entire sense of what she was good at. “I really love solving organisational puzzles,” she says, “and almost all of them come from people problems.” But the conclusion she drew next is the one that has defined her ever since, and it runs against the grain of the whole profession she had just entered. Most people problems, she decided, are not people problems.
Most people problems aren’t people problems
Her reasoning is precise, and you can hear the risk analyst in it. “If your incentive structures are wrong, if your decision rights are unclear, if your capability isn’t understood, even brilliant people will struggle,” she says. The instinct in most organisations, when performance disappoints, is to look harder at the individual. Lytvyn looks at the structure the individual is standing inside. The work, as she describes it, is “designing systems where talented people have the best possible chance to succeed, rather than expecting individuals to compensate for broken structures.”
It is why she calls herself an architect of people structures rather than an HR leader, and the label is more than branding. It is a finance brain pointed at the softest material an organisation owns. The same appetite for design, rules and coherence that she would have applied to securities, she now applies to how humans are organised, paid and moved. HR became the lens through which she discovered what she truly enjoys: solving the organisational puzzle underneath.
“Most people problems aren’t actually people problems.”
What no dashboard can measure
For someone so committed to structure and data, Lytvyn is unusually clear about where the numbers stop being useful. Ask her what experience has taught her that no spreadsheet can, and she does not hesitate: discretionary effort. “You can’t really measure whether someone gives it to you,” she says. “A dashboard can tell you what has already happened. It rarely tells you why.”
This is the counterweight to the architect, and she holds both ideas at once without strain. The best performers, in her experience, are not the smartest people in the room. They are the ones who feel trusted, feel challenged, and feel connected to the organisation’s goals and values. What that produces is something she calls human energy, and she rates it bluntly as the biggest competitive advantage any organisation has. The irony she points to is sharp: in a workplace increasingly run on measurement and AI, the one input that matters most is the one that resists being quantified. So it is the input she bets on hardest.
Structure to a point, then instinct
The same tension runs through how she makes decisions. She works in a data-driven world, she likes data, she is quick to say HR analytics is close to a religion in her field, and she would not take a serious decision without it. But she is equally clear that data runs out before certainty arrives. “There always comes a point where no additional data will make the answer obvious,” she says. “We face it daily.”
Her method, then, is deliberately two-stage: gather the information to make an informed decision, and once the information stops paying off, trust intuition and experience. What she refuses to do is stall in the gap between the two, waiting for a certainty that will never come. It is the line she returns to as a kind of governing principle, and it is worth sitting with, because it inverts how most people think about caution.
“Waiting for certainty is often the riskiest decision of all.”
Adaptability came first, not the moves
Lytvyn has built her career across countries, industries and cultures, the usual biography of a resilient executive. So it is striking that she rejects the usual story about it. Moving between countries and sectors, she insists, is not what made her adaptable. She had to be comfortable with change before she ever chose that path.
“International moves weren’t what made me adaptable,” she says. “They were a consequence of me already being that way.” It is a sharper piece of self-knowledge than the standard resilience narrative, and it comes with a refusal to prescribe. There is no single formula for a good career, she notes. Some people build extraordinary ones by staying in a single organisation, a single city, a single specialism, becoming true experts in a narrow field. She happens to be wired the other way, energised by new environments rather than unsettled by them, so crossing borders felt less like starting over and more like learning the same craft from a new angle. “I chose a career that matched my personality,” she says, “rather than forcing myself into one that didn’t.” The lesson she draws is not “be more like me.” It is “know which one you are.”
Dropping the act
Lytvyn writes and speaks with a directness that surprises people who expect corporate polish from someone at her level. Phrases like “finger in the air” and “degree, who cares” are hers. That plainness was not always there, and she is candid about where the old habit came from. Early on, she sounded like every other corporate leader, reaching for the jargon because she thought that was what professionalism looked like. Consulting sharpened the reflex. She jokes that consultants often hide simple ideas behind unnecessarily complex language, because sounding clever is part of what a client is paying for.
Then she noticed people did not actually connect with any of it. “They connect with honesty,” she says. Now, if she believes something, she would rather say it in plain English and short sentences than hide behind management language. Her definition of authenticity is refreshingly unromantic: it is not about being provocative, it is about being understandable. And she offers a test that doubles as a warning to anyone dressing up a thin idea. “When you try to overcomplicate things, it often means the idea itself isn’t really worthwhile.”
The same instinct reshaped how she carries authority. Like most professionals, she spent years trying to prove she was capable. The shift came when she realised confidence was never about knowing everything. “It comes from knowing you’ll find the solution, that you’ll work out what you don’t know.” She now says it out loud, to boards and chief executives: I don’t know the answer, but I will do my best to find it. Rather than competing to be the smartest person in the room, she became more interested in asking better questions. And rather than making her appear weaker, admitting what she didn’t know became the point at which, in her own words, her career accelerated.
What you can’t outsource
Which brings her to AI, a tool she uses every day, by name, at work and at home. She is an enthusiast, not a sceptic: it processes information, spots patterns and challenges assumptions, and she thinks every professional should learn to use it and to interrogate what it returns. Her caution is narrow and precise, aimed at exactly one thing. The day AI convinces you that every decision has a perfectly rational answer is the day you start losing the most important leadership quality there is: judgement.
Some decisions, she argues, leaders should never rely on AI alone to make, hiring, exits and pay, the choices that shape people’s lives. There is a human factor in each that no model can resolve, partly because leadership sometimes requires judgement that goes beyond what an algorithm can optimise, and partly because of how these tools are built. “AI will answer you what you want to hear,” she says. A leader’s job is to stay inside the thinking, not delegate it.
“Don’t wear a mask. If you’re loud, be loud.”
That belief connects, in the end, to the one piece of advice she most wants to pass on, and it is the same principle underneath everything else: don’t wear a mask. Being one person at work and another at home is exhausting, she says, and it burns people out fast. Keeping up appearances for a boss is not a career strategy; it is a slow depletion. Her counsel to anyone entering corporate life is almost startlingly plain. Be genuine. If you’re loud, be loud. If something upsets you, let it show. If someone doesn’t like the real you, that is information, not failure, and it may simply mean you are in the wrong place. Because the best a career can offer, on her reading, is not a title or a corner office. It is being valued, fully, for exactly who you already are.
