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

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

 

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

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

 

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.

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