Senior Data Product Manager

This is a fully remote position, open to applicants in Germany.

📋 Description

• Take ownership of the Data Product strategy and portfolio within a specific business domain.

• Convert business challenges into scalable and reusable Data Products along with analytical capabilities.

• Establish and guide the product vision and roadmap.

• Recognize valuable challenges and prioritize opportunities based on business value, strategic importance, user requirements, and available capacity.

• Act as the main product liaison for senior business stakeholders.

• Foster transparency concerning priorities, dependencies, trade-offs, and delivery timelines.

• Align business stakeholders with the Data & AI teams.

• Question requirements and uncover underlying business issues.

• Promote Data Product adoption and value realization through product metrics, usage insights, stakeholder feedback, and business KPIs.

• Lead within a cross-functional matrix organization involving Data Engineers, Data Analysts, Forward Deployed Engineers, DataOps, and functional leadership.

• Manage the product backlog and prioritization processes.

• Balance the introduction of new capabilities, technical enhancements, migration tasks, and operational needs.

• Assist in the shift toward self-service analytics.

• Enhance the understandability, reusability, and accessibility of Data Products.

• Detect duplications, gaps, dependencies, and opportunities for reuse across products and domains.

⛳️ Requirements

• Over 6 years of relevant product management experience.

• Extensive experience in Data Product Management, Analytics Products, or data-centric products.

• Proven experience in at least one relevant business or data domain such as Customer, Marketplace, Finance, Procurement, Pricing, or Marketing.

• Experience in owning product strategy, roadmaps, prioritization, adoption metrics, and achieving business outcomes.

• Comfortable interacting with and challenging senior stakeholders.

• Ability to question assumptions and differentiate underlying needs from initial requests.

• Understanding the difference between scalable Data Products and individual dashboards.

• Technical knowledge of modern data platforms, data modeling, and analytics.

• Capability to collaborate effectively with technical teams and understand architectural trade-offs.

• Familiarity with Databricks, Power BI, Microsoft Fabric, and Azure is highly advantageous; equivalent experience in another modern cloud data ecosystem is also relevant.

• Comfortable working within a matrix organization.

• Ability to clearly communicate complex topics and make transparent prioritization decisions.

🏝️ Benefits

• Work from Home: the work location can be arranged individually, including up to 20 days a year anywhere in the EU.

• Engaging team events and regularly hosted parties.

• Kindergarten Grant: €100.00 per month for employees covering kindergarten childcare costs.

• Anonymous, complimentary professional psychological support through nilo.

• Opportunities for internal and external training and career development support.

• Fully funded Deutschland Ticket.

• Urban Sports Club M package providing access to various sports activities.