Jobs at Daimler Truck AG

Lead SAP technical delivery for finance, procurement, materials management, and related modules. Manage teams, resource allocation, estimation, budgets, implementation, rollout, upgrade, and support projects while coordinating with global teams. Develop and support ABAP, RICEF, OData, CDS, AMDP, workflows, HANA applications, and UI5 integrations. Ensure SAP standards, best practices, operational acceptance, and timely delivery.

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Owns the application product backlog and prioritization for automotive instrument cluster software. Coordinates Middleware, HMI Application, and Model Development teams; defines Scrum and Kanban processes, including DoR, DoD, backlog refinement, and burndown tracking. Develops project plans, manages stakeholders and suppliers, monitors KPIs, documents status, mitigates risks, and drives high-quality end-to-end SOP delivery across distributed teams.

Lead sourcing and commodity strategies for axles and forgings, drive cost reductions, raw material planning, supplier risk mitigation, contract management, cross-functional alignment, and implement reporting to ensure QCD and process compliance.

Lead development and implementation of Total Quality Management (TQM) for R&D: define KPIs, map and redesign processes, drive culture change, deliver TQM training, coordinate cross-functional teams, and conduct internal quality audits with corrective action plans.

Design, build, and maintain data pipelines and ETL processes; ensure data quality and availability; collaborate with cross-functional teams to support analytics and reporting; implement data solutions and support data platform operations.

Define business problems and build data-driven solutions: develop and validate PoCs, drive MVPs (data prep, feature engineering, modeling), deploy predictive models to production with monitoring, and iterate with cross-functional teams.

Design, build, and maintain scalable Snowflake-based data pipelines and ETL/ELT processes. Optimize Snowflake performance, ensure data quality and security, collaborate with analysts and data scientists, document architecture and processes, and troubleshoot pipeline issues. Support medallion architecture and tools like dbt, Matillion, and SNP Glu.