At Moonpig, we help millions of people celebrate the moments that matter – from birthdays and anniversaries to the little everyday reasons to show someone you care.
Data and technology sit at the heart of how we do that. They help us make thoughtful recommendations, create more personal experiences, and make it easier for customers to remember, choose and send something meaningful.
At Moonpig, our purpose is to create better, more personal connections between people who care about each other. Data plays a vital role in helping us deliver on that purpose, but we know that the best data work is never just about technology. It is about people, perspectives and the impact we can make when diverse teams come together.
Our partnership with Women in Data® reflects our commitment to building an inclusive data community where women in and outside our team can be seen, supported and celebrated. We want to help create more opportunities for women to grow their careers in data, analytics, technology and AI, while showcasing the breadth of work taking place across Moonpig and learning from our partners, peers and allies.
As a business built on personalisation, creativity and customer understanding, we know that diversity of thought helps us make better decisions and build better experiences. By partnering with Women in Data®, we are proud to support a community that is helping shape a more representative, responsible and inspiring future for the data industry.
The UK data landscape is entering a new phase, where data and AI will become even more embedded in the way businesses serve their customers, support their colleagues and make decisions.
Over the next five years, we expect to see personalisation become more thoughtful, more timely and more trusted. Customers will increasingly expect digital experiences that understand their needs, remove friction and add genuine value, without ever losing the human touch. For Moonpig, that means using data to help people remember important moments, find the right card or gift, and make every message feel personal.
We also expect responsible AI and strong data governance to become even more important. As new tools and techniques move quickly, organisations will need trusted data foundations, clear ethical frameworks and diverse teams who can challenge assumptions and think carefully about the impact of the systems they build.
Data will also become more accessible across organisations. The future will not be one where data sits only with specialist teams. It will be one where colleagues across product, marketing, trading, operations, technology and customer teams can develop trusted insight to make better decisions every day.
At Moonpig, we see this as an exciting opportunity. By combining data, technology, creativity and care, we can continue to build experiences that feel simple, personal and meaningful for our customers – while helping shape a data industry that is inclusive, responsible and full of possibility.
Moonpig is the UK’s leading online greeting cards and gifting brand, helping customers celebrate the people they care about with personalised cards, flowers and gifts.
Founded in 2000 as the UK’s first online physical greeting cards business, Moonpig has grown into a household name by combining creativity, convenience and technology. Today, Moonpig Group is a leading data and technology platform for online greeting cards and gifting, with brands including Moonpig in the UK, Ireland, Australia and the US and Greetz in the Netherlands, as well as Buyagift and Red Letter Days.
Our business is built around helping customers create more personal connections. From reminders and recommendations to creative card features and next-day delivery, we use data and technology to make it easier to celebrate moments big and small.
Behind every card, gift and customer experience is a team of brilliant people working across data, analytics, product, engineering, marketing, operations and more. Together, we are focused on building simple, personal and meaningful experiences that help people show they care.
I’ve always been fascinated by patterns.
As a child, that meant numbers as much as music. I started playing piano at four, went on to study piano, flute and organ, won a few competitions, and was fortunate enough to receive a scholarship to the Birmingham Conservatoire Junior School where I studied for several happy years. What captivated me wasn’t just performing – it was the structure behind it all. I loved harmony, analysis and the beautiful logic that sits underneath music.
At school I was equally obsessed with mathematics. My maths teacher even wrote letters home to my parents about my passion for the subject, and I still have them today. By the time I was choosing a university, I was studying Maths, Further Maths, French, German and Music, and imagined my future could combine those interests after spotting an image in an Oxford prospectus featuring an engineering student playing the oboe. That single photograph changed the course of my life.
I went on to study Mathematics at the University of Oxford, graduating with Double First Class Honours, where I found myself drawn to applied mathematics – particularly mathematical biology, fluid & solid mechanics and later on, applying that to modelling blood flow through heart tissue. What I loved most was seeing abstract mathematics solve real-world problems.
That curiosity has shaped every step of my career since.
I began in computational software at Wolfram Research, where I helped build the Strategic Initiatives group, before moving into the world of applied machine learning and AI. Over the years I’ve worked across startups, scale-ups and established technology companies, building products, data platforms and AI capabilities across sectors including government, insurance, education, defence and utilities. I’ve advised early-stage founders, helped companies navigate the journey from zero to one, and led product and data organisations as they’ve scaled.
Today I’m Director of Data & AI at Moonpig, where I lead our Data Platform, Product Analytics, Data Science and Machine Learning teams. Together we’re building the data and AI capabilities that power personalised experiences and help millions of people celebrate life’s moments with the people they care about.
One of the things I love most about leading in data is that it sits at the intersection of technology, product, commercial strategy and people. My product background has taught me that great data isn’t the goal – creating meaningful outcomes is. The most exciting work happens when brilliant technical teams are deeply connected to customer problems and empowered to turn complexity into something genuinely useful.
I’m also passionate about helping more women build careers in data and AI. Throughout my career, I’ve mentored emerging leaders, spoken at industry events and supported initiatives that create more opportunities for women in technology. If sharing my own journey – from a child fascinated by patterns, to leading data and AI teams today – encourages someone else to see a place for themselves in this industry, then that’s something I’m incredibly proud of.
Expertise Area: Data Leadership, Product Leadership, Machine Learning & AI
Education: MMath Mathematics, University of Oxford; Mini MBA, LSE
My career spans Marketing, Data, and Engineering, giving me a broad perspective on how technology, data, and customer insight come together to solve real business problems. I began in marketing before moving into technical roles as a Marketing Tech Solutions Lead and later a Principal Engineer, where I developed a passion for building scalable data platforms and helping organisations make better, data-driven decisions.
Over the last nine years, my focus has evolved from individual technical leadership to organisational leadership. Today, as Head of Data Platforms at Moonpig, I lead the teams that transform raw data into trusted data products, powering decision-making, customer experiences, and machine learning across Moonpig. Together, we ensure data is accurate and available for analysis and activation, build the scalable platforms that underpin our data ecosystem, and deploy and monitor machine learning models that deliver intelligent, real-world outcomes. A key part of my role is driving organisational change—continually improving how we work, removing bottlenecks, raising engineering standards, and partnering closely with Data Protection, Risk, and leaders across Technology to ensure our platforms are secure, well-governed, and built for long-term success.
I’m passionate about creating opportunities for others to thrive, particularly through apprenticeship programmes, mentoring, and inclusive hiring. I believe diverse teams build better products, and that investing in people is just as important as investing in technology.
My career has shown me that there isn’t a single route into data. The best leaders bring different experiences and perspectives, combining technical expertise with curiosity, empathy, and a deep understanding of the businesses they support.
In 2025, I was honoured to receive the Leadership in Tech award at the SheCanCode Power Up Awards.
Expertise Area: Data Leadership, Data Platforms, Data Activation
Education: BA, University of York
My journey into data wasn’t one I ever planned.
I started my career developing business systems within the manufacturing industry. Early in my career, I had the opportunity to help build the company’s first data warehouse and introduce its first business intelligence capability. That was when I truly discovered my passion for data. Seeing how data could be transformed into meaningful insights that supported better business decisions completely changed the direction of my career.
Since then, I’ve been fortunate to work across a range of industries, including manufacturing, the NHS, travel and retail. Every role has taught me something different, but one thing has remained constant: a passion for helping people get value from data and building solutions they can trust in their day-to-day work.
One of the things I love most about working in data is that it never stands still and is always evolving. Throughout my career, I’ve been fortunate to grow alongside the industry—from traditional data warehouses and reporting platforms to today’s cloud technologies and modern analytics engineering. As data has become an integral part of everyday life, my curiosity has only grown, continually inspiring me to learn and embrace what’s next.
Today, I lead the Analytics Engineering team at Moonpig, where I’m helping to grow the Analytics Engineering function and build a culture centred on engineering and operational excellence, collaboration and continuous learning. I’m passionate about building high-performing analytics engineering teams that create trusted data products, raise engineering standards, and work collaboratively across the business to improve data quality at source, because great analytics starts with great data.
One of the most rewarding parts of my role is helping people develop and creating an environment where curiosity is encouraged, collaboration thrives, ideas are shared, and everyone has the opportunity to grow.
I believe there isn’t one “right” path into a career in data. My own journey has taught me to embrace opportunities, stay curious and never stop learning. I hope my story encourages others to embrace opportunities, trust their own journey and have confidence in where it might lead.
Expertise Area: Analytics Engineering | Data Products | Data Excellence
Education: BSc Hons Geography and IT
I have more than eight years’ experience in data analytics, with a career spanning the medical, legal, insurance, advertising and retail sectors. I have worked in organisations ranging from start-ups to multinational corporations, which has taught me how to adapt my analytical approach to different levels of scale, pace and data maturity.
My journey into analytics began with a background combining computer science and tourism management. As a social science, tourism gave me an understanding of how people, businesses and wider environments shape decisions, why people behave, choose and perceive things differently, while computer science provided the technical tools to explore those patterns through data. Looking back, this combination reflects the curiosity that still drives me today: I want to understand what people do, what shapes their behaviours and perceptions, and how technology and data can help us create better experiences.
I am particularly interested in product analytics, behavioural insights and experimentation. I believe meaningful change starts with understanding what customers want and determining how we can meet those needs as seamlessly as possible. For me, analytics is not simply about reporting what has happened. It is about asking the right questions, identifying patterns, testing hypotheses and turning evidence into decisions that improve products and customer experiences.
At Moonpig, I work closely with product stakeholders, engineers and colleagues across the wider data function to support A/B testing, product analytics and insight. Together, we evaluate opportunities, measure impact and help ensure that product changes and business decisions remain data-first and data-led.
I believe effective decision-making begins with clear objectives, so I use the SMART methodology to keep work specific, measurable, achievable, relevant and time-bound. I also adopt Agile and Kanban ways of working to create visibility, manage priorities and deliver value iteratively.
Alongside the work itself, I care about the environment in which it happens. Work-life balance matters to me, as does working in spaces where diversity and inclusion are fundamental principles, not an afterthought. I believe the best ideas, products and insights come from teams where people with different experiences feel respected, supported and able to contribute fully.
Expertise Area: Data Analytics, Product and Behavioural Insights, Experimentation
Education: BSc. Hons. Multimedia Computing and Tourism Management, Oxford Brookes University
I’m a Data Scientist specialising in building recommendation engines that help people discover what they need (or didn’t know they needed!). I build and maintain large-scale recommender systems while bringing cutting-edge research into the commercial world, bridging the gap between novel ideas and real-world impact.
Recently, I was proud to receive the Early Career Tech Champion award, a milestone that fuels my drive to keep pushing boundaries, innovating and making tech more impactful. I’ve shared my insights at events including AWS Cloud Women, Her + Data and BCS, The Chartered Institute for IT, and recently presented my research at the International Conference on Machine Learning (ICML).
I also love sharing my unique journey into tech and, most importantly, I’m excited to continue building my career and shaping my identity as a Data Scientist within the data industry.
Expertise Area: Data Science, Recommender Systems
Education: MSc Artificial Intelligence and Data Science, BSc Computer Science and Neuroscience
I grew up in Malta with an early curiosity about artificial intelligence and a fondness for structure and formal reasoning. My undergraduate thesis at the University of Malta explored an embedded geometrical language in Haskell, which felt like a natural expression of that. After graduating, I worked as a .NET software developer before moving to Edinburgh for an MSc in Cognitive Science. My dissertation there modelled how humans detect symmetry, a project sitting at the intersection of cognition, mathematics, and computation.
From Edinburgh, I moved to London and spent several years as a software developer, then a development manager. Alongside the technical work, I also took on the role of Scrum Master, running sprints, facilitating retrospectives, and keeping teams aligned. Juggling both sides gave me an early appreciation for how much the human and organisational side of engineering shapes what actually gets built.
In 2016 I joined Moonpig as a Software Engineer, where over the years I worked across different engineering teams, getting exposure to various domains of the business and building a broad understanding of how the product fitted together. In 2019 I made the move into Moonpig’s Data team, which opened up a new chapter. I gained hands-on experience across a range of data technologies, including Snowflake and dbt, and developed a much stronger grounding in how data flows through a business at scale. That foundation eventually led me toward the more specialist role I’m in now: Senior ML Ops Engineer. In practice, that means bridging the gap between data science and software engineering: building and maintaining the pipelines that take models from experimentation into production, making sure they’re monitored, reproducible, and able to scale. It also involves designing the infrastructure and tooling that data scientists rely on day-to-day, from feature stores and model registries to CI/CD workflows for ML. Getting all of that to work reliably and keep working as the business evolves is the real challenge of the role.
Earning my AWS Machine Learning Speciality certification in 2025 was a natural step in that direction. The field is moving fast, and I find that genuinely exciting. There’s so much still to figure out in how organisations build, scale, and govern machine learning systems responsibly, and I’m glad to be working on those problems at a time when they really matter.
Expertise Area: ML Ops, Software Engineering
Education: MSc Cognitive Science, BSc Computer Science and AI
Fill out the form below to receive our comprehensive partnership brochure.
