Senior Product Manager – Data Lakehouse (f/m/d)

About This Opportunity

We are representing a confidential e-commerce technology organization based in Germany. They are building out their data infrastructure to support advanced analytics, self-service reporting, and AI-driven capabilities across their platform. As their business scales, they need a senior product leader to transform how data products are defined, standardized, and consumed throughout the organization.

This is a hybrid role based in Berlin, with a permanent contract. You'll own the strategic direction for data lakehouse products, moving the organization from ad-hoc data requests to a mature, product-driven data platform that serves both human users and machine consumers.

Responsibilities

• Own the product portfolio and strategic roadmap for the data lakehouse domain, shifting from reactive request fulfillment to proactive development of reusable, standardized metric frameworks
• Manage data products end-to-end with a customer-centric approach, tracking adoption, trust, and actual usage patterns among internal consumers
• Define and maintain the semantic layer including metric definitions, dimensional models, metadata standards, and comprehensive documentation that serves both BI tool users and AI agents
• Build and deliver metrics-as-a-service capabilities, exposing standardized metrics through APIs that product engineering teams can integrate directly into their applications
• Serve as the primary point of contact for internal data consumers and product teams, managing expectations, communicating trade-offs, and maintaining clear prioritization boundaries
• Collaborate with adjacent data domain teams to align shared standards and dimensions, while partnering with platform teams as service providers for your product needs

What We're Looking For

• Several years of product management experience with direct ownership of data or analytics products such as data platforms, semantic layers, data-intensive APIs, or similar data product portfolios
• Strong data-as-a-product mindset, demonstrating focus on consumer needs, data quality, governance frameworks, semantic consistency, and measurable adoption metrics
• Proven track record defining and standardizing metrics and data concepts that enable consistent usage across multiple teams and diverse use cases
• Demonstrated leadership in complex, ambiguous environments with the ability to set direction, make autonomous decisions, and drive outcomes without complete information
• Exceptional stakeholder management and communication capabilities, with experience aligning diverse groups and building consensus without formal authority
• Solid technical understanding of modern data ecosystems and tooling, ideally including lakehouse architectures, dbt, semantic layer technologies, reporting platforms, and AI-enabled data access patterns
• Fluency in English; German language skills are beneficial but not required

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your profile and schedule an initial screening call to understand your background and career goals. If there's a strong mutual fit, we'll submit your candidacy to our client and guide you through their interview process. Please apply exclusively through our platform—direct contact with the client is not part of this process.

Pay

Compensation details will be discussed during the screening process based on your experience level and our client's internal framework.

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