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"description_excerpt": "Director, Global Security Country United States Company Description: McDonald's is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. 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As one of the world's fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what's possible. We invest heavily in advanced AI capabilities-specifically our Process Intelligence Graph-to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The Opportunity Are you a business outcome-driven transformation leader with 15+ years of experience designing and operationalizing large-scale cloud, edge, and AI platforms? We are looking for a Client Value Partner to bridge the gap between business and technology for top-tier retail, CPG, and logistics enterprise accounts. You will act as a senior technical advisor to C-suite executives, guiding teams from prototype to production at a global scale. 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The role contributes to engineering development by creating technical documentation, installation guides, and training materials. Acting as a cross‑functional partner, the technician helps ensure solutions are production‑ready and effectively integrated into fleet environments. Why This Role Matters Validates and enables deployment of Tire Intelligence solutions by testing, troubleshooting, and ensuring performance, safety, and durability in real‑world fleet environments. Accelerates engineering readiness and scalability through hands‑on support, documentation, and training materials that standardize global installations. Drives seamless adoption and customer value by bridging engineering, operations, and field teams to integrate new technologies effectively. What You Will Do Perform hands‑on troubleshooting, diagnostics, and testing to validate performance, durability, and safety of tire intelligence and automotive systems. 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