Senior Manager Data Analytics Logistics & Procurement

Tyson Foods•Springdale, AR

9d•Onsite

About The Position

The Senior Manager Data Analytics Logistics & Procurement develops standards, tools, and governance for capturing, modeling, storing, and delivering data for Logistics. This role involves identifying AI and data-related business requirements, developing high-level enterprise data models, optimizing data flow, and implementing AI strategy across the Logistics organization. The Senior Manager Data Analytics Logistics & Procurement oversees one or more Data Engineering Disciplines and is an individual contributor role.

Requirements

Bachelor's Degree or relevant experience.
7+ years of relevant and practical experience.
Deep technical expertise in one or more areas of focus, e.g., Data Engineering, Data Modeling, Data Platforms, Data Visualization, Automation, AI
The ability to explain highly technical concepts to non-technical team members and leaders.
Self-driven ability to vet new technical patterns, influence decision-makers, and establish those patterns as new technical standards.
Resume required to be considered for this role.

Nice To Haves

Computer Science, Computer Engineering, Information Systems, Quantitative or Engineering Field preferred.

Responsibilities

Establishing and maintaining enterprise-wide technical standards, guidelines, and best practices for software development, quality, and infrastructure.
Ensuring compliance with these standards across all programs and projects.
Designing scalable, reliable, and secure architecture solutions that align with business goals and technical requirements.
Conducting architecture reviews and providing guidance to ensure alignment with enterprise standards with regards to the citizen development framework.
Leveraging expertise in software development, quality engineering, and infrastructure engineering to provide holistic architectural solutions.
Ensuring seamless integration of development, quality, and infrastructure components.
Evaluating and selecting appropriate technologies, AI models, tools, and platforms aligned with enterprise standards and business needs.
Conducting proof-of-concept (PoC) projects to validate technology choices.
Collaborating with development, quality, and infrastructure teams to ensure alignment with enterprise architecture standards.
Facilitating communication and knowledge sharing across teams and departments.
Promoting a culture of continuous improvement by identifying opportunities to enhance technical standards and practices.
Staying up to date with industry trends and emerging technologies to ensure the enterprise remains competitive.
Designing solutions that ensure high performance, scalability, and reliability.
Conducting performance assessments and optimizations to meet enterprise requirements.
Ensuring that all architectural solutions include robust backup and recovery mechanisms.
Ensuring that automated testing, continuous integration, and continuous deployment (CI/CD) practices are implemented and consistently applied.
Creating and maintaining comprehensive architectural documentation, including diagrams, standards, and guidelines.
Ensuring that documentation is accessible and up to date for all stakeholders.
Manage relationships with technology vendors and ensure that tools and services meet enterprise and Logistics standards.
Evaluating and integrating third-party solutions as needed.
Providing high-level support for incident management and troubleshooting complex technical issues.
Conducting root cause analysis and implementing preventive measures.
Conducting capacity planning ensures enterprise architecture can handle current and future workloads.
Managing resources effectively to support enterprise-wide and Logistic initiatives.
Providing training and mentorship to technical and non-technical teams to ensure adherence to enterprise standards.
Supporting professional development and knowledge sharing within the organization.