Sr Manager Data Analytics Logistics & Procurement

Job Details: * This position will sit 100% onsite at out Corporate 412 West location. * ** Priority consideration will be given to those who currently reside within a 50-mile radius of Springdale, AR. ** Job Summary The Sr Manager Data Analytics Logistics & Procurement leads the design and delivery of high-value, complex analytics, artificial intelligence, automation, and data engineering solutions across Logistics and Procurement. This role combines deep technical expertise with business acumen to translate operational challenges into scalable data products, intelligent applications, and automated solutions that deliver measurable business value. The Sr Manager provides hands-on technical leadership across advanced analytics and data engineering — including solution architecture, data pipelines and modeling, AI-enabled applications, system integrations, and workflow automation. The role owns initiatives end to end, from problem identification and technical design through development, production implementation, adoption, and value realization. The Sr Manager works closely with Logistics and Procurement leaders, senior leadership, and data and analytics teams across Tyson to identify and implement the tools, platforms, and practices needed to deliver continued value to stakeholders. This includes partnering with IT and enterprise technical teams to ensure the security, reliability, and scalability of Tyson data. Essential Duties and Responsibilities Strategy and Business Partnership Business Partnership. Partner directly with Logistics and Procurement leaders and operational teams to understand business processes, identify opportunities, and translate operational challenges into technical requirements and solutions. Strategy and Roadmap. Collaborate with senior leadership to define strategy and roadmaps that align analytics, AI, and automation initiatives with broader business priorities, and evaluate emerging technologies to determine where new capabilities can practically create value. Business Case Development. Develop business cases, quantify opportunities, establish expected ROI and success measures, and communicate recommendations and value to business and senior leadership. Solution Delivery and Technical Leadership Initiative Leadership. Lead complex, high-value analytics, AI, automation, and data engineering initiatives from opportunity identification and requirements development through technical design, implementation, adoption, and value realization. Solution Architecture and Standards. Design and guide scalable solutions — data pipelines and models, integrations, analytics applications, automated workflows, and AI-enabled capabilities — and establish the reusable technical patterns and development practices that allow the team to efficiently build, deploy, monitor, and scale them. AI and Advanced Analytics. Develop and operationalize AI and advanced analytics solutions that improve decision-making, automate processes, identify exceptions, and surface actionable insights. Hands-On Delivery. Contribute directly through solution development, prototyping, architecture and code reviews, and troubleshooting, applying agile practices to deliver on time and to quality standards. Team Leadership and Development Lead and Develop the Team. This position is considered an individual contributor and does not have direct reports. However, it will be required to partner with organizational leaders to support their teams in development of analytics, data engineering, and technical talent by providing coaching, expertise, and developmental opportunities that enhance skills, broaden cross-functional exposure, and foster career growth within a collaborative and innovative culture. Technical Mentorship. Mentor analysts, data engineers, and team leads on advanced technical techniques, solution reviews, and problem-solving, and share knowledge broadly to expand team capability. Operational Excellence and Governance Ente…

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