Group Product Manager, Data Platforms

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Group Product Manager, Data Platforms based in United Kingdom.

As a Group Product Manager, Data Platforms, you will shape the strategy and evolution of large-scale data infrastructure supporting some of the world's most widely used knowledge platforms. You will lead product direction across data engineering, experimentation, search, and site reliability, ensuring that data products are reliable, accessible, and valuable to teams across the organization. Working closely with engineering leaders, researchers, analysts, and product teams, you will drive the development of modern data pipelines, analytics tools, and experimentation capabilities. You will also manage and develop a team of product managers while influencing strategic decisions across multiple technical domains. This is an opportunity to combine technical product leadership, people management, and mission-driven innovation in a globally distributed, remote-first environment dedicated to making knowledge freely accessible.

Accountabilities

As a strategic product leader, you will oversee the development and lifecycle management of data platform products while ensuring alignment between technical capabilities and organizational priorities. Your responsibilities will include:

• Define and drive product strategy, priorities, and roadmaps across four key domains: data engineering, search, experimentation, and site reliability.
• Ensure the accuracy, reliability, accessibility, and practical value of data products and services.
• Lead product lifecycle management for the technologies, tools, and services developed by Data Platform Engineering teams.
• Collaborate with the Director of Engineering for Data Platform Engineering to establish strategic direction, facilitate decisions, and ensure effective execution.
• Guide the evolution of data infrastructure, including data pipelines, data lakes, experimentation platforms, and analytics tools.
• Oversee product capabilities covering data ingestion, orchestration, computation, and serving across technologies such as Kafka, Flink, Hadoop, Spark, Airflow, Iceberg, Kubernetes, Superset, dbt, and OpenSearch.
• Partner with user-facing product teams, researcher...

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