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# Product Lead - Data Product and Insights

- **Company:** Wise
- **Location:** Greater London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Data Infrastructure, Data Warehousing, SQL Databases, Large Language Models, Snowflake, Data Lakes, Data Management, Databricks
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815439202-product-lead-data-product-and-insights

## About the Role

* 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

## Description

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


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