Sr Manager Data Analytics Logistics & Procurement

Tyson Foods, Inc.•Springdale, AR

11d•Onsite

About The Position

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. The role combines technical expertise with business acumen to translate operational challenges into scalable data products, intelligent applications, and automated solutions that deliver measurable business value. The position provides hands-on technical leadership across solution architecture, data pipelines and modeling, AI-enabled applications, system integrations, and workflow automation. It owns initiatives end to end, from problem identification and technical design through development, production implementation, adoption, and value realization. The Sr Manager partners with Logistics and Procurement leaders, senior leadership, and Tyson data and analytics teams to identify and implement tools, platforms, and practices that deliver value to stakeholders. The role also works with IT and enterprise technical teams to support the security, reliability, and scalability of Tyson data. This is an individual contributor role with no direct reports, though it includes coaching and mentoring other technical professionals. It is 100% onsite at the Corporate 412 West location, with priority consideration for candidates residing within 50 miles of Springdale, Arkansas. Travel is 1–3 trips per year.

Requirements

Seven or more years of relevant practical experience in data engineering, analytics engineering, artificial intelligence, automation, software development, advanced analytics, analytics management, or a related technical field.
Demonstrated ability to lead and motivate teams.
Strong knowledge of modern data engineering and architecture, including data pipelines, modeling, orchestration, integrations, cloud data environments, and scalable solution design.
Proficiency in scripting or software development and familiarity with APIs, version control, testing, monitoring, and security.
Strong understanding of modern AI, machine learning, and intelligent automation, including the data and application patterns needed to create practical business solutions.
Ability to independently structure ambiguous problems, investigate technical and data challenges, evaluate alternatives, and make sound decisions under pressure.
Ability to understand operational processes and translate between business requirements, data needs, technical architecture, and measurable business outcomes.
Strong leadership and proficiency in project management methodologies and tools; ability to set technical direction and gain alignment across stakeholders, engineers, IT teams, and senior leadership.
Ability to explain complex technical concepts, recommendations, opportunities, and risks clearly to technical and non-technical audiences.
Willingness and ability to perform the physical requirements of the job, with or without reasonable accommodation.
Resume required for consideration.

Nice To Haves

Bachelor’s degree in Computer Science, Data Science, Engineering, Analytics, Information Systems, Supply Chain Management, Business, or a related field preferred; seven years of relevant experience may be considered in place of a degree.
Master’s degree strongly preferred.
Relevant certifications in data engineering, cloud technologies, AI, machine learning, automation, analytics, or related disciplines preferred but not required.
Experience designing and delivering complex, production-ready data or technology solutions strongly preferred.
Experience applying technology in logistics, procurement, supply chain, warehousing, manufacturing, or another operationally intensive environment preferred.
Residence within a 50-mile radius of Springdale, Arkansas receives priority consideration.

Responsibilities

Partner with Logistics and Procurement leaders and operational teams to understand processes, identify opportunities, and translate challenges into technical requirements and solutions.
Collaborate with senior leadership to define strategies and roadmaps that align analytics, AI, and automation initiatives with business priorities, and evaluate emerging technologies for practical value.
Develop business cases, quantify opportunities, establish expected ROI and success measures, and communicate recommendations and value to business and senior leadership.
Lead complex analytics, AI, automation, and data engineering initiatives from opportunity identification and requirements development through design, implementation, adoption, and value realization.
Design and guide scalable data pipelines and models, integrations, analytics applications, automated workflows, and AI-enabled capabilities; establish reusable technical patterns and development practices.
Develop and operationalize AI and advanced analytics solutions that improve decision-making, automate processes, identify exceptions, and surface actionable insights.
Contribute hands-on through solution development, prototyping, architecture and code reviews, and troubleshooting, using agile practices to meet delivery and quality standards.
Partner with organizational leaders to support the development of analytics, data engineering, and technical talent through coaching, expertise, and developmental opportunities.
Mentor analysts, data engineers, and team leads in advanced technical techniques, solution reviews, and problem-solving; share knowledge to expand team capability.
Collaborate with IT and enterprise technical teams on architecture, infrastructure, security, integration, governance, and production deployment, advancing solutions from the Logistics and Procurement business perspective.
Drive operational improvements and oversee risk management processes to proactively address issues and implement mitigation strategies.
Communicate with cross-functional teams and stakeholders, and evaluate and manage vendor and service-provider relationships.
Measure solution adoption, operational impact, financial value, and reliability after implementation.
Perform other job-related duties as assigned within the scope of the role.