Your Tasks

• Own and deliver the replacement of the legacy Business Warehouse
• Build and scale a modern cloud-based data ecosystem as the foundation for analytics and AI
• Establish a data product operating model serving BI, data science, and AI use cases
• Ensure analytics-ready and ML-ready data for AI agents and LLM-based applications, predictive models, forecasting, optimization
• Enable AI-powered analytics, incl. "chat with your data"
• Drive the evolution from reporting → predictive & prescriptive analytics
• Define and embed data governance (ownership, quality, standards) into the platform
• Lead and scale a team of Data Analytics Engineers
• Act as a senior interface to Data Science, AI, Business, and IT teams

Your Profile

• Extensive experience in data, analytics, or data platform leadership roles
• Proven experience modernizing or replacing legacy DWH / BW landscapes including establishment of Data Governance
• Strong understanding of Data Engineering (pipelines, transformations, scalability), Analytics & BI (semantic layers, self-service), Data Science & ML (feature readiness, training vs. inference needs)
• Experience in enabling data for AI / ML use cases at scale
• Strong people leadership and enterprise stakeholder management
• Experience with GCP-based data ecosystems, incl. BigQuery (analytical & ML-ready data modeling) and Looker / Looker Studio (semantic layer, governed self-service)
• Familiarity with ML pipelines and feature concepts (offline / online features)
• Exposure to LLM-based analytics and AI agent architectures
• Understanding of governance, security, and compliance in cloud environments
• Product- and value-driven mindset
• Systems thinker (m/f/d) across analytics, AI, and governance
• Pragmatic builder (m/f/d) with strategic perspective
• Credible sparring partner (m/f/d) for business and AI leadership

About Us

Our best solutions arise when diverse perspectives come together. Diversity is key to achieving our vision of becoming the Experience Champion in Consumer Electronics. We value diversity, promote equal opportunities, and foster inclusion – join our team!