Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
Job DescriptionWe're looking for a Analytics Engineering Director (AEL 3) in Servicing to join our Analytics Engineering team in London.
Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world's first platform to offer true multi-currency banking. Your mission is to help us build better products faster by making it easy for Wisers to make data-informed decisions.
At Wise, we work with over 300+ Analysts and more than 7000 weekly active users of our Business Intelligence Tools. As a Senior Analytics Engineering Manager, you'll be crucial in ensuring it's easy to find & load relevant, trustable data quickly.
Here's how you'll be contributing to the Analytics Engineering team
People Leadership: You will scale an existing team of 8 to 20+ within the next 12 months - keeping the bar high while scaling and ensuring everyone on the team is consistently growing.
Defining & Implementing Strategy: You will work closely with the Engineering, Product & Analytics leads of the Servicing tribe (FinCrime, Customer Support, Risk) to drive the strategy for how we can utilise Data & Analytics for best outcomes for our customers.
Core Data Sets: You will play a key role in ensuring trustable, discoverable, context-enriched core datasets exist. This involves working closely with users of these datasets as well as Engineers emitting the source data they’re based on.
Tooling Evangelist: Ensure Wise stays ahead of the curve by acting as the go-to expert for new tooling like AI applications - including conversational AI, leveraging AI for data asset enablement, and workflow optimisation. Leading its adoption and successful rollout across the organization. You’ll own metrics to track the success of this like lead time for getting new data assets live.
Best Practices Driver: Assess and implement data modelling best practices across your tribe, elevating our data capabilities and cost sustainability.
What do I need to bring to the role?
● Project Leadership: You have a track record of creating & implementing
long-term, strategic projects (2+ year time horizon, cross-functional).
● Stakeholder Engagement: You're able to build strong empathy for your stakeholders
and internal customers, proactively identifying and solving their problems.
● Impactful Storytelling: Excellent storytelling ability with data, translating complex
insights into defensible, digestible & actionable narratives.
● Technical Expertise: Advanced proficiency in SQL and Python is a must (code-review) + Architecture review
● Data Pipelining & Modelling: Prior experience in building robust analytics
pipelines and designing effective data models.
● Tooling: Able to own the roadmap for implementation of best practices regarding
Business Intelligence Tools like LightDash and transformation tools like
dbt. Ideally you have implemented multiple tools and workflows at your previous
organisations and are ready to meet any challenge regarding security
implementation, technical implementation & adoption.
Additional Information
- Base salary: gross / year base (based on experience & interview outcomes)
- Restricted Stock Units (RSUs)
- Numerous amount of best in class benefits
- Flexible working - whether it’s working from home, school plays or life admin we
- get that flexibility is essential and you’re trusted to do the right thing and be
- responsible
- Paid annual holiday, sick days, parental leave and other leave opportunities
- 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Skills Required
- Track record creating and implementing long-term strategic, cross-functional projects with a two-year or longer horizon
- Ability to build stakeholder empathy and proactively identify and solve internal customer problems
- Excellent data storytelling skills, translating complex insights into actionable narratives
- Advanced proficiency in SQL and Python, including code review and architecture review
- Experience building robust analytics pipelines and designing effective data models
- Ability to own best-practice roadmaps for business intelligence and data transformation tools
- Experience implementing multiple tools and workflows, including security, technical implementation, and adoption
What We Do
Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
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Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
