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Wise

Product Lead - Data Product and Insights

London
Posted about 24 hours ago
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Company Description

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.

Job Description

More about our mission and what we offer.

The role

We are looking for a Product Lead to run our Data Products & Insights group. You will manage a small team of product managers, including the Product Manager who owns our new data lake, and keep hands-on product work of your own: the foundations that let teams across Wise build with GenAI in production.

What You'll Be Doing

Lead the team

  • Set the strategy for Data Products & Insights, covering data foundations, analytics and GenAI
  • Manage 1 to 2 product managers: coach them, develop their craft, and help them find their own route to impact
  • Represent the group's work to leadership and partner teams, and bring company context back to the team
  • Guide the Product Manager's who owns our data lake and analytics platforms, helping them build product craft and stay close to the teams who depend on them.
  • Stay accountable for the group's delivery, including the data lake migration, reviewing progress and clearing blockers without taking the work over

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Hands on

  • Work with teams across Wise to find where GenAI helps customers most, and prioritise those opportunities with them
  • Build the shared foundations for experimentation and production use: retrieval, orchestration, evaluation and guardrails
  • Define how we evaluate AI outputs, with measures for accuracy, latency, customer satisfaction and cost
  • Work with Legal and Compliance so regulation (EU AI Act, DORA, MAS FEAT) is built into the product lifecycle from the start

Qualifications

What we're looking for

We're building a team that reflects the customers we serve, and we want people with different backgrounds and perspectives in the room.

We know not everyone has a linear path into product leadership. We are fully aware that it is uncommon for a candidate to have all the skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you!

  • Experience shipping Data or AI products with measurable customer outcomes, ideally including a data platform implementation or migration
  • A technical foundation in data engineering, data platforms or ML and AI systems, with working SQL and the depth to hold architecture conversations with engineers
  • Experience managing or mentoring product managers while staying close to the product work yourself
  • Working knowledge of LLM application patterns, such as retrieval and agents, and what it takes to run them reliably in production
  • Clear communication: able to bring stakeholders along and explain decisions without jargon
  • Comfort working in a regulated environment, in partnership with legal and compliance colleagues

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What Will Set You Apart

  • Experience in financial services, payments or another regulated industry
  • Hands-on familiarity with the modern data stack, for example Iceberg or Delta, Snowflake or Databricks, and dbt
  • Familiarity with AI governance frameworks such as the EU AI Act, DORA or MAS FEAT

Additional Information

Find out more

  • How we work: a practical guide
  • DEI @ Wise
  • Product career map
  • Wise Tech Stack (2025 update)
  • Careers in Product
  • Wise Engineering blog

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.

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Jessica, London

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Skills

Data Products
AI Products
Data Engineering
Data Platforms
Machine Learning
SQL
Product Management
Mentoring
Communication
Regulatory Compliance
Analytics
GenAI
Data Lake
Experimentation
AI Governance
Customer Outcomes

Location

London, England, United Kingdom

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