Analytics Engineering Director - Servicing

Wise; Greater London; Hybrid; GBP 120,000 - 170,000; Full time

Benefits offered by this job

RSUs

Flexible working

Sabbatical after 4 years

Job summary

Wise in London is seeking an Analytics Engineering Director to lead the Analytics Engineering team within the Servicing tribe. You will shape data strategy and ensure scalable access to trusted data for product and risk teams.

You will drive people leadership, data architecture, and tooling adoption (including AI-enabled data assets) while partnering with Engineering, Product, and Analytics leads across the tribe. This role offers flexible working and RSUs.

Qualifications

• Proven project leadership with 2+ year time horizon.
• Strong stakeholder engagement and problem-solving.
• Excellent storytelling with data to translate insights into actions.
• Advanced proficiency in SQL and Python.
• Experience building robust analytics pipelines and data models.
• Ability to roadmap BI tooling like LightDash and dbt; implement multiple tools.

Responsibilities

• Scale an existing team to 20+ within 12 months while maintaining high performance.
• Define and implement analytics data strategy in collaboration with Engineering, Product & Analytics leads.
• Ensure trustable, discoverable core datasets and effective data source alignment.
• Champion tooling adoption (AI-enabled assets) and lead rollout across the organization.
• Drive data modelling best practices and cost-effective data architecture.

Skills

SQL

Python

Stakeholder management

Data storytelling

Data modelling

Analytics pipelines

Tools

LightDash

dbt

Data Architecture

Job description

We'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.

• 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.

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