Product Lead - Data Product and Insights

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, and keep hands-on product work of your own: the foundations that let teams across Wise build with GenAI in production., * 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’s who own 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

• 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, * 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

Wise is a global technology company, building the best way to move and manage the world’s money.