Product Manager - Data Management

Booking.com seeks a Technical Product Manager for the Catalog and Data Lifecycle product to set the product vision, drive adoption of enterprise-wide metadata management and discovery tooling. The role requires experience with distributed data & AI platforms, stakeholder management, and a data-driven mindset.

HybridFull-timeSeniorDistributed Data & AI PlatformBatch And Stream Processing

Product Manager - Data Management

Booking.com seeks a Technical Product Manager for the Catalog and Data Lifecycle product to set the product vision, drive adoption of enterprise-wide metadata management and discovery tooling. The role requires experience with distributed data & AI platforms, stakeholder management, and a data-driven mindset.

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HybridFull-timeSeniorDistributed Data & AI Platform

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

6 years

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

distributed data & AI platformbatch and stream processingmetadata managementdata lifecycle managementcatalogingclassificationAWSGCPA/B testingstakeholder management

Soft Skills

user-focuseddata-drivenproblem solvingcommunicationteamworkadaptabilityself-motivatedresults-driveninterpersonal competenceleadership

Preferred Qualifications

Technical (Nice-to-have)

A/B testing conceptsE-commerce platform development

Key Responsibilities

•Set the product vision and GTM strategy for the Catalog and Data Lifecycle product
•Drive adoption of enterprise-wide metadata management and discovery tooling across OLAP data
•Integrate with governance tooling like enterprise policy platform, knowledge graph, and data & AI product discovery UX
•Enable automated discovery, indexing, and lifecycle management of data
•Surface contextual and lifecycle information for data & AI product discovery
•Manage visibility around data retention, archival, and deprecation
•Serve multiple personas including control functions, legal, developers, analysts, data engineers, ML/AI engineers, and governance personas
•Balance value for data & AI practitioners and compliance/control/legal functions
•Identify opportunities for the product and understand specific needs for each customer segment

Product ManagerData ManagementMetadata ManagementData CatalogData Lifecycledistributed systemscloudAWSGCPAmsterdam