Data Director, Personalisation

Monzo
London
2 weeks ago
Create job alert

We’re on a mission to make money work for everyone.

Applying for this role is straight forward Scroll down and click on Apply to be considered for this position.We’re waving goodbye to the complicated and confusing ways of traditional banking.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 MonzoHear from our team about what it's like working at MonzoLondon | £160,000- £190,000 + Benefits | Data ScienceAbout our Data DisciplineWe have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.We work in cross-functional squads where every data practitioner is a member of a central data discipline and fully embedded into a product squad alongside Engineers, Designers, Marketers, Product Managers, Finance Analysts etc.Your Mission We’re aiming to be the app where our customers' financial lives are centered and they can get full transparency, visibility and control over their money. This role is fundamental to achieving this mission and making money work for everyone. You’ll build the foundations and collaborate on building systems that enable a personalised financial experience, leveraging machine learning to improve our search, discovery, and personalisation features.You will be responsible for partnering with senior stakeholders across Product, Engineering and Business disciplines to develop evidence-driven solutions to important problems. You will apply your leadership experience and data expertise to solve complex business challenges, help drive decision-making (at squad and leadership level) and develop data products (where appropriate) that will improve our products. You will lead a team of high performing, cross functional data professionals. You will also be part of the wider data leadership group and help shape the role that data plays across the company.Your day-to-day

Establish yourself as a trusted member of the data and product senior leadership teams with the capacity for getting things done and to enable better decision makingBring data leadership and rigour to the data team, and build a strategic understanding of the business while structuring complex projects to bring them to lifeSet the data strategy for a whole product area which will help us to build one of the best user experiences in the financial industryHelp your team to focus and to prioritise for highest impact initiatives for the businessEffectively manage stakeholder relationships and expectations across various functions like engineering, product, operations and first and second lines of defenceDevelop and further scale a high performing team of data professionals across a wide range of data capabilitiesCoach managers and individual contributors, helping them to grow professionally and personallyYou should apply if: What we’re doing here at Monzo excites you!You have multiple years of experience in a hands on data role in the past and have now been

leading data and ML teams in customer facing, product oriented rolesAs well as managing high-performing teams, you have built teams from the ground up within a fast-growing environmentYou consider yourself an empathetic leader and have experience managing multiple data individual contributors and data managers and you really enjoy that part of the jobYou’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunitiesYou have experience working together and collaborating with senior business stakeholdersYou have experience leading a full stack data team, including Machine Learning Engineers, Data Scientists, Analytics Engineers and AnalystsYou have experience managing data managersThe Interview Process Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!30 minute recruiter call45 minute call with the hiring manager4 x 1-hour video calls with various team members, including the general manager for Financial CrimeA meet and greet with a Monzo Executive Committee memberOur average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on ’s in it for you: £160,000- £190,000 plus stock options & benefitsWe can help you relocate to the UKWe can sponsor visasWe offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.Learning budget of £1,000 a year for books, training courses and conferencesAnd much more, see our full list of benefits

here

#LI-NJ #LI-REMOTEEqual opportunities for everyone 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, 2023 Diversity and Inclusion Report and 2024 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

#J-18808-Ljbffr

Related Jobs

View all jobs

Data Director, Personalisation London

Data Director, Personalisation

Data Director, Personalisation | London, UK

Senior Director of Engineering, Personalisation | Cardiff, UK

Senior Data Scientist

VP Data & Insights

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.