Remote
UK
£92K–£110K GBP
📦Product
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Data Director, Workforce Systems & Service Performance
🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through Monzo ❤️
London/Cardiff/UK Remote | 💰 £150,000–£180,000 + Incentive Awards tied to your performance + Benefits✨
Customer Operations at Monzo is at the heart of delivering fast, safe and high-quality support to millions of customers.
As Monzo grows, the way we run operations is evolving. We’re supporting more customers, more products, more markets, more regulatory expectations, and a growing mix of human and AI-powered service. This creates one of the most interesting operational systems challenges at Monzo: how do we forecast demand, plan supply, schedule work, route tasks, understand live performance, and make capacity decisions across an increasingly complex global operation?
Workforce systems are central to this. They help determine how Monzo matches customer demand with human and AI capacity, how we protect service levels, how we make cost and capacity trade-offs, and how we keep support fast, safe and reliable as we scale.
The next phase is about building the workforce systems that allow Monzo to keep scaling Customer Operations as we expand our products, global footprint and AI capabilities - supporting our mission to make money work for everyone.
This role will lead that next phase.
You’ll sit at the intersection of Data, Product, Engineering, Operations and Finance. You’ll shape the technology, data products and operating systems that help Monzo understand demand, plan capacity, schedule work, measure execution, assign tasks, and respond to live operational change. You’ll work on capabilities that make workforce decisions more accurate, more automated, more explainable and more resilient as the business grows.
You’ll also build and develop the team and capability needed for this next stage - raising the bar for forecasting, measurement, operational data products and system-led workforce decisioning.
You don’t need to come from a traditional Workforce Management or contact centre background. We’re looking for a senior data-product systems leader who can reason from first principles, build scalable operational systems, and lead through ambiguity across multiple disciplines.
You may have worked in data science, data products, operational systems, forecasting, marketplace operations, logistics, planning systems, routing, service platforms, AI-enabled operations, or another complex supply/demand environment.
Experience in Workforce Management, customer operations, outsourcing, or contact centres would be useful, but it’s not required. We care more about your ability to understand complex systems, build data products that power operational decisions, and lead across Data, Product, Engineering and Operations.
You also don’t need to be the deepest hands-on forecaster or ML engineer yourself, but you should know what good looks like, set a high bar, and build the team and systems around you.
This is a senior technology and data leadership role focused on building the next generation of workforce systems at Monzo.
The role sits at the intersection of Data Science, Product, Engineering and Operations. It needs someone who can bring statistical judgement, product thinking, technical credibility and people leadership together to shape systems used in live operational decision-making.
You’ll help Monzo continue to scale Customer Operations as our product set, customer base, AI capabilities and global footprint grow. That means building systems that help us serve customers quickly and safely, use human and AI capacity well, and make high-quality operational decisions in increasingly complex environments.
💰 £120,000–£175,000 + Benefits
✈️ We’ll help you relocate to the UK, if applicable
✅ We can sponsor your visa
📍 This role can be based in our London office, but we’re open to distributed working within the UK, with occasional meetings in London
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team
📚 £1,000 learning budget each year to use on books, training courses and conferences
🏡 We’ll set you up to work from home; all employees are given MacBooks and remote workers get extra support for their home setup
➕ Plus lots more - read our full list of benefits
We focus on real-world problem solving - not brainteasers.
Our process usually includes:
We’ll explore how you think about:
Our average process takes around 3-4 weeks, and we’ll always work around your availability
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊
GBP 150,000 - 180,000
Annually
