At a Glance
- Tasks: Lead the development of Wise's new data lake, enhancing analytics and AI capabilities.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse team environment with a commitment to inclusion and career progression.
- Why this job: Make a real impact on financial technology and shape the future of data infrastructure.
- Qualifications: 3-5 years in product management with a focus on data infrastructure.
The predicted salary is between 60000 - 80000 £ per year.
hackajob is collaborating with Wise to connect them with exceptional professionals for this role. All potential candidates should read through the following details of this job with care before making an application.
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.
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. 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.
Product Manager - Data Lake in Bristol employer: Wise
Wise is an exceptional employer that prioritises the well-being and professional growth of its employees. With a dynamic work culture that fosters innovation and collaboration, team members are encouraged to develop their skills while contributing to meaningful resilience strategies on a global scale. Located in a vibrant city, Wise offers competitive benefits and unique opportunities for career advancement, making it an ideal place for those seeking a rewarding and impactful career.
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We think you need these skills to ace Product Manager - Data Lake in Bristol
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
