Product Manager Data Lake

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 youll do

• Own one of Wises 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 were looking for

Were building a team that reflects the customers we serve and we want people with different backgrounds and perspectives in the room. 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!

• 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

Additional Information :

Find out more

• How we work: a practical guide

• DEI @ Wise

• Product career map

• Wise Tech Stack (2025 update)

• Bringing Data Sources Together with PipelineWise

• Data Inventory

• 3 Main Elements in Your Snowflake Bill

• Rack awareness in Kafka Streams

• Wise Engineering blog

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were 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 its like to work at Wise visit .

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Remote Work :

No

Employment Type :

Full-time