Data Director, Personalisation
London
š Weāre on a mission to make money work for everyone.
Weāre waving goodbye to the complicated and confusing ways of traditional banking.Ā
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!
Weāre not about selling products - we want to solve problems and change lives through Monzo ā¤ļø
Hear from our team about what it's like working at Monzo āØ
Ā
šLondon | š° Ā£160,000- Ā£190,000 + Benefits | Data ScienceĀ
About our Data Discipline
We 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 MissionĀ
Weāre 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. Youāll 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.Ā
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-dayĀ
- 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 making
- Bring data leadership and rigour to the data team, and build a strategic understanding of the business while structuring complex projects to bring them to life
- Set the data strategy for a whole product area which will help us to build one of the best user experiences in the financial industry
- Help your team to focus and to prioritise for highest impact initiatives for the business
- Effectively manage stakeholder relationships and expectations across various functions like engineering, product, operations and first and second lines of defence
- Develop and further scale a high performing team of data professionals across a wide range of data capabilities
- Coach managers and individual contributors, helping them to grow professionally and personally
You should apply if:
What weāre 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 roles
- As well as managing high-performing teams, you have built teams from the ground up within a fast-growing environment
- You consider yourself an empathetic leader and have experience managing multiple data individual contributors and data managers and you really enjoy that part of the job
- Youāre as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities
- You have experience working together and collaborating with senior business stakeholders
- You have experience leading a full stack data team, including Machine Learning Engineers, Data Scientists, Analytics Engineers and Analysts
- You have experience managing data managers
The Interview Process
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
- 30 minute recruiter callĀ
- 45 minute call with the hiring manager
- 4 x 1-hour video calls with various team members, including the general manager for Financial Crime
- A meet and greet with a Monzo Executive Committee member
Our 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 tech-hiring@monzo.com
Whatās in it for you:
š° Ā£160,000- Ā£190,000 ā plus stock options & benefitsĀ
āļø We can help you relocate to the UK (delete if doesnāt apply)Ā
ā We can sponsor visas (delete if doesnāt apply).
ā° 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.
š Learning budget of Ā£1,000 a year for books, training courses and conferences
ā And much more, see our full list of benefits here
#LI-NJ #LI-REMOTE
Equal opportunities for everyone
Diversity and inclusion are a priority for us and weāre making sure we have lots of support for all of our people to grow at Monzo. At Monzo, weāre 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.
Weāre 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 š
ApplyJob Profile
Benefits Empowering culture Financial education Flexible working Flexible working hours Inclusive environment Learning Budget Learning budget of Ā£1 Learning budget of Ā£1,000 a year Options Professional growth Stock options
Tasks- Build data systems
- Collaborate with stakeholders
- Develop data products
- Lead data team
- Set data strategy
Analytics Banking Cross-functional Collaboration Customer service Data-driven decision making Data Science Data Strategy Decision making Diversity and Inclusion Finance Financial Crime Financial Education Leadership Looker Machine Learning Product Development Stakeholder management Strategy Team Leadership Training
Experience5 years
Education Timezones