Helping leaders navigate complexity by aligning people, data and technology around a shared objective.

Organisations rarely struggle because they lack technology. They struggle because complexity makes it difficult to see what matters most. I help leaders evaluate opportunities, align stakeholders, and make better decisions about strategy, analytics, data and AI.

Philosophy

Technology should support strategy, not drive it.

Too many organisations treat AI as the starting point.

I believe the real challenge is understanding the problem first. Data, analytics and AI are powerful enablers, but meaningful value comes from aligning people, processes and technology around a shared objective.

Better decisions create better outcomes.

Story

An unconventional path that turned into an operating advantage.

My career has spanned sales, marketing, product, analytics, strategy and AI across telecommunications, media, fintech, marketplaces and startups. What looks unconventional on paper became an advantage. Each role gave me a different lens on how organisations create value, make decisions and drive change.

I grew up between Greece and Bulgaria, two cultures that shaped me in complementary ways. Greece taught me mathematics, logical rigour, and analytical thinking. Bulgaria taught me resourcefulness and technical depth. We fixed appliances ourselves, built PCs with my siblings, and learned to make things work with limited resources. That instinct stayed with me and later evolved into building my own clouds, servers, and systems because I refused to be blocked by technical gaps.

My early career moved across industries, functions and environments. At the time it looked unconventional. Looking back, it became an advantage. Each role exposed me to a different part of how organisations operate: how customers make decisions, how products create value, how commercial teams prioritise growth, and how technology enables scale.

In 2018, I designed my first AI-led value proposition. That was the turning point. I realised that meaningful innovation rarely starts with technology. It starts with understanding the problem deeply enough to recognise a better way forward. From that point on, I deliberately expanded my capabilities across product, analytics, experimentation, automation and AI—building the skills needed to move ideas from concept to execution.

One of the most valuable lessons of my career came from working across functions rather than within a single discipline. Commercial teams optimise for outcomes. Product teams optimise for customer value. Technical teams optimise for feasibility. The most important decisions sit between those perspectives. My role is often to facilitate that conversation, helping organisations align people, data and technology around a shared objective.

Throughout that journey, I worked alongside engineers, analysts, product managers, designers and commercial leaders. Those experiences taught me that meaningful transformation rarely comes from expertise in a single domain. It comes from understanding how different disciplines contribute to the same outcome.

Startup bootcamps, hackathons and cross-functional teams taught me another lesson: collaboration is not difficult because people disagree. It is difficult because capable people care deeply about their craft. Real progress comes from creating shared understanding without sacrificing quality, technical rigour or commercial outcomes.

Looking back, the value was never in any single role, industry or technology. It came from learning how different disciplines approach the same challenge. Today I bring that perspective into every engagement—connecting ideas, aligning stakeholders and helping organisations navigate complexity with greater clarity and confidence.

Next step

Ready to clarify what actually drives results?

Let’s audit your data capabilities, strip back the AI hype, and isolate the exact technical levers that will move your financial metrics this quarter.