Our **Plant IT** team is looking to add an **IT Site Management Analyst** **Requirements:** Education: Advanced student or graduate in Computer Engineering, Systems, or related fields. Advanced English (mandatory): ability to hold fluent conversations with international committees. Experience in: IT infrastructure (hardware, networks), management of infrastructure and application incidents, artificial intelligence tools and industrial automation, Manufacturing 4.0 and continuous improvement processes. Excellent interpersonal skills, autonomy, proactivity, and ability to make decisions in critical situations. Availability to work rotating shifts, weekends, and holidays as operational needs require. ‍ If you are a results-oriented person with **strong interpersonal skills, autonomy, proactivity,** the ability to make decisions in critical moments, and teamwork capabilities, this opportunity is for you! **Where? Ford Plant, General Pacheco.** **Modality:** 100% on-site with rotating shifts. What do we offer? Ford Argentina Health Insurance Discounts on new car purchases On-site cafeteria ️ Ford Holidays Flexible hours Birthday free day Agreements with universities to continue your education Annual bonus And more! Don’t hesitate any longer, **c** **ome join Ford!** **We invite you to learn more about Ford Argentina at** **:** **Ford Argentina** https://lnkd.in/gGDsfQy **Instagram** https://lnkd.in/gxetcsc **Facebook** https://lnkd.in/gzFJJpG **\#LI\-FordArgentina** \#LI\-FD1 Here’s what the person in this role will do: * Support production processes from the technology infrastructure and applications area, ensuring the plant's operational continuity. * Provide technical support for IT infrastructure (hardware, networks, applications) within the production environment. * Manage and resolve critical incidents with urgency and autonomy. * Participate in global meetings with teams from India, Thailand, the U.S., among others, representing the Pacheco plant. * Identify process improvement opportunities and implement solutions based on AI, data analytics, and Manufacturing 4.0 technologies. * Evaluate and implement improvements in manufacturing processes using technological tools that optimize efficiency and innovation.