Product Manager - Data Lake

Job Description The Role

We are looking for a Product Manager to own our new data lake: the platform that will hold the data behind analytics, reporting and AI at Wise. We are moving from systems we have outgrown onto a modern lakehouse, and you will own that move as a product, from roadmap to adoption. You will work with a dedicated engineering team and be guided by the Product Lead for Data Products & Insights, but the roadmap will be yours.

This role suits someone with around 3 to 5 years of product experience and a background in data infrastructure, who wants to own a large, visible project end to end.

What you'll do

• Own one of Wise's biggest product bets: the data lake at the core of our data infrastructure, behind real time fraud detection, workforce management, analytics, financial reporting, and the big data use cases nobody has built yet.
• Treat the teams who run on that data as your customers: understand what they need from the platform, decide what it should be great at, and shape the roadmap around the value each step creates.
• Win adoption one workload at a time: every dataset that moves should be faster, cheaper or more trustworthy than where it lived before, so teams choose your platform rather than being told to use it.
• Onboard teams onto the platform, watch where they struggle, and turn that into product improvements.
• Define and track the measures that matter: adoption, query performance and cost, data quality incidents, and whether users trust what they find.
• Build metadata, ownership and access controls in from the start, so trust in the platform grows as fast as usage.

Qualifications What we're looking for

• Around 3 to 5 years of product experience, or a mix of product and hands on data work, with at least two platform products shipped end to end.
• A background in data infrastructure: you have built or worked closely with pipelines, warehouses or lakes, and you are comfortable in SQL.
• The ability to turn ambiguous technical work into a clear, staged roadmap with measurable outcomes.
• Experience working closely with engineers, and the communication skills to explain technical trade offs to non technical colleagues.
• Care for the people who use data: you enjoy talking to users, observing where they struggle, and turning that into product improvements.

What will set you apart

• Hands on experience with the modern data stack, for example Iceberg or Delta, Snowflake or Databricks, dbt or Airflow.
• Experience with a data migration or re platforming project, on either the product or the engineering side.
• Experience in financial services or another regulated industry.

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.