About this role
Job title: Product Lead, Data Products & Insights
About the Role Wise is seeking a Product Lead to run our Data Products & Insights group. You will lead a small team of product managers, including the Product Manager who owns our new data lake, while continuing to contribute hands-on product work to establish foundations that enable Wise teams to build with GenAI in production.
What You'll Do
- Lead the team and 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 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
- 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
Nice to Have
- 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