Your Responsibilities 

• Own and continuously refine the product vision and roadmap for our Data Platform, aligning business priorities with scalable and sustainable solutions across BI, analytics and data infrastructure. 

• Act as the central interface between business stakeholders, product teams and data teams, structuring incoming demand, clarifying requirements and turning them into clear priorities and actionable delivery plans. 

• Bring transparency into our data initiative landscape by creating a clear view of ongoing topics, dependencies, progress, risks and next decisions across teams. 

• Drive regular alignment with stakeholders to review requests, challenge scope where needed, and ensure that work is focused on the highest-value topics instead of ad hoc ticket churn. 

• Help translate business goals into structured data initiatives, epics and requirements that Data Engineers and Analytics Engineers can execute efficiently. 

• Work closely with the team to understand delivery capacity, identify bottlenecks and support realistic planning across operational work, project work and strategic initiatives. 

• Partner with engineering and analytics teams to evolve our BI and data platform landscape, including semantic models, reporting foundations, data availability and integration with core systems such as SAP. 

• Use hands-on analysis with SQL, Python or BI tools where helpful to validate use cases, understand data dependencies and support better product decisions. 

• Identify and prioritize future platform capabilities, including improvements in self-service analytics, data quality processes and AI-supported workflows. 

• Foster strong collaboration across data, business and technology teams to improve adoption, clarify ownership and make data work more predictable and scalable. 

Your Qualifications 

• Several years of experience as a Product Manager, Delivery Lead, Program Manager or in a similar role in a data, BI or platform-related environment. 

• Strong understanding of modern data and BI ecosystems, including analytical data platforms, reporting environments and the interaction between source systems, transformation layers and semantic models. 

• Proven ability to work with a broad range of stakeholders, structure ambiguous requirements and drive alignment across teams with different priorities. 

• Strong planning and prioritization skills, with experience managing a portfolio of initiatives rather than only isolated feature work. 

• Hands-on technical understanding of data topics, with working knowledge of SQL and the ability to engage confidently with engineers and analysts on implementation trade-offs. 

• Experience with enterprise systems such as SAP and with analytical platforms such as Starburst, Snowflake, Power BI or similar environments is a strong plus. 

• Strong communication and moderation skills, with the ability to challenge, simplify and drive decisions in a constructive way. 

• A pragmatic mindset and a strong sense of ownership, with the ability to create structure in complex or messy environments. 

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