Validation Lead - Data Analytics

Job Description

Do you want to help solve the worlds most pressing challengesFeeding the worlds growing population and slowing climate change are two of the worlds greatest challenges. AGCO is a part of the solution! Join us to make your contribution. AGCO is looking to hire candidates for the position of Validation - Data Analytics. The position will be a member of the global validation core team (GVCT) responsible to create and maintain global standard for reliability engineering and reliability assurance within AGCO. The role includes long-term planning of the verification & validation methods and standard templates for reliability engineering, and overseeing the implementation on sites and on the NPI projects. Your Impact Definition of global validation data collection and analysis standard: Define and oversee the implementation of a global data collection and analytics toolchain across all AGCO engineering sites. Machine data: Ensure the existing data collected from the machine fleet (i.e. connected customer fleet, connected validation fleet) is analyzed and used to back up DVP definition in project planning. Implementation Plan: Establish an implementation plan for AGCO sites regarding standard & strategy fulfillment. Best Practices: Continuously explore best practices within AGCO and in the industry to improve AGCO validation data collection and analysis. Innovation: Drive innovation and implementation of the latest simulation methods across the teams. Innovation: Actively study and find new methodologies and ways to increase the speed and quality of data analytics including use the collected data from AGCO customer & validation fleets. Actively seek ways to reduce validation dependency on physical equipment availability Product Quality Readiness: Support audits and studies of new product SW quality readiness for NPI (New Product Introduction) and CPM (Current Product Maintenance), across all AMPIP phases and lifecycle of the products, by implementing efficient data analytics tools. Your Experience and Qualifications Educational Background: 4-year Data Analytics or Electronics, and/or Software (or similar) Engineering Degree. Experience: (required) Minimum 2+ (5+ years preferred) years data-analytics experience. (additional - preferred) Global experience, training experience. Data Analytics Expertise: Practical knowledge in data analytics toolchains, methods and processes. Ability to create usable data analytics templates and tools for the validation sites, based on specifications. Innovation: (Preferred) Experience with using digital twins and AI-driven data-analytics tools processes. Communication Skills: Excellent communication & presentation skills w/ global teams and stakeholders. Global Consistency: Ability and willingness to drive global consistency and commonality in validation practices. Your Benefits GLOBAL DIVERSITY - Diversity means many things to us, different brands, cultures, nationalities, genders, generations - even variety in our roles. You make us unique! ENTERPRISING SPIRIT- Every role adds value. Were committed to helping you develop and grow to realize your potential. POSITIVE IMPACT - Make it personal and help us feed the world. INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence - and work alongside teams of people worldwide who share your enthusiasm. MAKE THE MOST OF YOU - Benefits include health care and wellness plans and flexible and virtual work options. Your Workplace We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives. Join us as we bring agriculture into the future and apply now! Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice. AGCO is proud to be an Equal Opportunity Employer.