Product Lead - Data Product and Insights
Wise•3h ago
United KingdomOnsiteFull-timeMid Level2+ yrs exp
Top focus
Vp ProductVp DataData AnalystData ScientistDirector Product
- 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
- 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. 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
- 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
- help them find their own route to impact Represent the group's work to leadership and partner teams
- 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
- 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
- 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
- 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
- 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
- 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 .
Required skills
Data EngineeringData PlatformsMachine LearningArtificial IntelligenceSQLData LakeAnalyticsGenAILLMIcebergDeltaSnowflakeDatabricksdbt