Lead Technical Program Manager & Operator
Making complex
things actually move.
I've spent 12 years embedded in technical teams: close enough to understand what's being built, focused enough on the operational layer around it to make the whole thing work. My career moved from data and business analysis into program management and operations, not by plan but by repeatedly noticing something broken and deciding to fix it.
I'm drawn to problems that sit at the boundary between technical and organisational, where the answer isn't obvious and getting it right changes how people work. With a background in Electrical Engineering, I'm trained to start with the problem, not the solution.
At a glance
Experience
A business within a business. In practice, this meant working across multiple self-contained teams, each with their own engineers, products and ways of operating. My work spanned two of them: designing an operating model for a cross-functional group that had outgrown its informal ways of working and building the intake infrastructure for a 280+ data science team with no shared process. First time I got to go deep on operations rather than project management. System design and relationship-building turned out to be the same job.
A large, hierarchical environment. JPMorgan was where I first got into operations: FinOps, product metrics, dashboarding, executive reporting. Less about managing individual projects and more about building the visibility infrastructure that lets leadership actually see what's happening.
My most formative environment. I built a reputation for being parachuted into projects that had gone sideways: not just to reset timelines, but to untangle what was actually wrong. The dividend forecast automation project was the clearest example: close collaboration with five data engineers until we had a working system and a team that trusted each other. Also, I introduced the department's first shared project management processes (documentation standards, planning rhythms, stakeholder communication).
First role in the UK, first fintech. I brought data warehouse rigour to an underdefined problem space. I built solution design documentation, a prioritisation framework for report migration and data architectural standards. Nine months of learning what it means to build from scratch in a team figuring itself out at the same time.
First international role. I applied and deepened the data warehouse skills from IBM in a more complex regulatory environment (IFRS9, EBA). 20+ source systems, 10 data marts, and my first experience working in a truly multinational team.
The foundation. I joined via IBM's Consulting by Degrees graduate programme (first cohort in Greece). I got deep into SQL and learned to translate between business and technical stakeholders in banking. After 3.5 years the work became repeatable and I was ready for something harder. That decision eventually led to London (via Vienna).
Briefly at Qualco (2017) between IBM and Raiffeisen: a calculated risk at a mid-size Greek company that didn't pay off, but pointed me towards Europe and new adventures.
Tools & Tech
Education
Projects
Work I've led or contributed to: in roles, pro bono, and beyond.
Ops & Systems
Designing the infrastructure and processes that let teams do their best work.
Unclear priorities, calendars full of meetings and decisions made without the right people. I spotted the friction, and got buy-in from teams that had been working around each other for years. I ran a listening tour across 25 stakeholders, mapped the current chaos, and designed a new operating model. Weekly cross-functional sessions are now at the centre of how the teams coordinate. 3.7/5 in a post-launch team survey.
Requests for data science involvement were landing via chats, emails, meetings. Inconsistent, invisible, impossible to prioritise. I simplified what we actually needed and built the end-to-end intake pipeline from scratch: Microsoft Forms for capture, SharePoint for storage, Power Automate for routing and notifications. Also, I led the migration of all Security Solutions data science teams to Jira: space setup, configuration, adoption support.
Started maintaining infrastructure costs manually in Excel, and decided to automate. Taught myself Alteryx and Tableau, and expanded to cover OKRs and user metrics across 5 AI products. Getting into the infrastructure numbers led me to FinOps: the dashboards helped identify $50k/month in AWS savings that hadn't been visible before. Handed over as a functioning system when I left.
Strategy & Data
Diagnosing complex challenges to drive strategic alignment.
Bees Abroad helps communities build sustainable livelihoods through beekeeping. I'm working with their CEO and a Trustee to design their Measurement, Evaluation and Learning strategy, ensuring project data reflects actual social impact, grounded in their Theory of Change. Building from scratch: structured discovery, synthesis across qualitative inputs and designing a framework that has to work in resource-constrained environments.
A JPMorgan volunteering initiative that pairs employees with charities needing strategic support. I led the data strategy work for a UK nonprofit, focused on helping them think about data: what questions to ask, how to prioritise, where to find support. Completed a data maturity analysis.
Coordinated engineers and business stakeholders to translate how analysts made dividend predictions into a working forecasting model. Designed the framework for comparing new model versions against production before deployment. Outcome: 110% increase in forecast coverage. The approach I developed for running this project and the stakeholder trust it built, became the template for a wider program management practice.
Community
Networks and communities I've chosen to be part of and contribute to.
Investing in women-(co)founded startups at pre/seed stage via the HERmesa Angel Syndicate. Early days, no investing thesis yet, but a growing interest in tech and deep tech, and a fast education in how early-stage deals work.
Mentored across three programmes: two cohorts of university students via JPMorgan, a senior project manager through the WomenWise community, and currently a mid-career professional via Women in Banking and Finance. Participated in a career panel at the University of Greenwich, organised by one of my mentees.
Certifications & learning (selected)
How I Work
The operating system behind the job title.
Working Genius · What is this? ↗
The ability to ponder and question and speculate about why things are the way they are. Naturally drawn to big open questions and uncharted territory.
The ability to push through obstacles and finish what was started. Energised by completing things and seeing results, not just initiating them.
Principles
In practice
Momentum. When progress is being made, ownership is clear and the team is moving together. The moment things click into place and something that was opaque becomes obvious to everyone in the room.
The problem is real and unsolved, I have genuine scope to act and the work leaves something behind that didn't exist before. I'm receiving feedback that tells me the truth, not just that I'm doing great.
People who are smarter than me in some dimension. Problems hard enough to require growth to solve. Environments where connecting context across domains matters. I pick up new territory quickly and find the synthesis more interesting than the specialisation.
Work that doesn't stretch anyone. Being trusted with a brief that doesn't require my full attention and the quiet implication that this is fine. I have several years of experience; I've never been most productive when underloaded.
Inputs
What I read, follow, and find myself thinking about.
Personal
The person behind the work.
Places of significance
Highlighted countries have a story.
A low threshold for boredom and a love for the process of being a total beginner and figuring things out. You’ll find me halfway through a DIY interior project, scouting for circular finds on Vinted or attempting to become a "decent" amateur at tennis and bouldering.
Moving from "AI user" to "AI builder". I’m spending my weekends getting my hands dirty with LLMs. After a couple of experiments, the real challenge is what do I build next?