Manager, Engineering, Business Systems

Not everyone can claim to feed the world, but it is part of our every day. Behind everything we do for our farmers, there is one AGCO team making it happen. We are proud to put our curiosity to work, building a better and more sustainable world. Join our extraordinary team today!   The Manager of Engineering Data Management and Process Control is a global leader responsible for engineering data governance, process standardization, digital engineering systems, and AI-enabled transformation across the Crop Care platform. This role ensures the integrity of engineering data within PLM, ERP, CAD, and product configuration systems while driving global process harmonization, virtual validation capabilities, and adoption of emerging digital technologies. Working closely with Engineering, IT, Manufacturing, and Product Platforms, this position plays a key role in advancing the future engineering operating model for Crop Care.  Your Impact  Engineering Data Governance & Management. Define and maintain global standards for Crop Care engineering data structures, taxonomies, product configurations, and lifecycle management. Ensure data integrity, consistency, and traceability across PLM, ERP, CAD, and engineering business systems. Act as the global owner of engineering master data policies and governance frameworks. Partner with IT to drive system enhancements, integrations, and digital engineering initiatives.  Engineering Process Excellence. Develop, implement, and sustain standardized engineering processes and workflows across Crop Care. Establish process control mechanisms, KPIs, and compliance tracking tools. Lead continuous improvement initiatives using Lean, Six Sigma, or similar methodologies. Ensure alignment of engineering processes with global product development, manufacturing, and quality standards.  AI & Digital Transformation Leadership. Drive adoption of AI-enabled engineering processes and workflows. Identify opportunities to leverage AI, automation, and advanced analytics to improve engineering productivity, data quality, and decision-making. Collaborate with Engineering and IT teams to redesign processes and systems that maximize the value of emerging digital technologies.  Digital Engineering Systems & Support. Serve as the subject matter expert (SME) for engineering systems, including PLM, PDM, CAD data management, ERP interfaces, and product configurators. Provide engineering-focused systems support, drive issue resolution, and identify opportunities to improve reliability, usability, and business value across the engineering tool landscape.  Virtual Validation & Product Configuration Integrity. Support virtual build activities by ensuring engineering models, configurations, and product structures are accurate, complete, and suitable for digital validation. Enable identification of design interferences, configuration issues, and data discrepancies prior to physical builds.  Cross-Functional Collaboration &…