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• Leading and developing the Technical Process Consulting team (approx. 8–10 people) across the streams: Source‑to‑Pay, Record‑to‑Report, Plan‑to‑Produce, Plan‑to‑Maintenance, and Order‑to‑Cash
• Steering the transition from the QIAbase project into stable CoE processes and structures

In close collaboration with Process Owners you analyze existing processes, identify AI‑ and agent‑based use cases, and design and build AI‑driven process architectures by integrating available AI platforms, technologies, agents, data, and knowledge sources....

Drive Platform Differentiation: Refine our platform's differentiated positioning to drive awareness, adoption, and revenue growth; lead messaging and GTM for related products (AI Hub, Agent Gateway, integrations), ensuring cohesive narratives that highlight business and technical value...

• Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end
• Uphold high engineering standards and bring consistency to the many codebases and processes you will encounter
• Work with engineers across the company to build new features at large-scale

End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....

• Develop and maintain advanced calculation models and grid calculation procedures.
• Support modeling for steady-state calculations , dynamic simulations in RMS and EMT domain.
• Lead the entire development lifecycle, from research and design to implementation, testing, and ongoing maintenance.

You design and own end-to-end AI and data architectures - from data ingestion and feature pipelines to model deployment and monitoring - with a strong focus on production-grade edge AI inside the vehicle....

You develop advanced machine learning-based architectures for automated driving functions and shape the way in which we scale our ML development....