Senior Manager Data Analytics Logistics & Procurement

Requirements

• Education: Bachelor's Degree or relevant experience. Computer Science, Computer Engineering, Information Systems, Quantitative or Engineering Field preferred.
• Experience: 7+ years of relevant and practical experience.
• Special Skills Required:
• 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 te

Benefits

Additional Information

Job Details: * RESUME REQUIRED TO BE CONSIDERED FOR THIS ROLE * The Senior Manager Data Analytics Logistics & Procurement develops standards, tools, and governance for capturing, modeling, storing, and delivering data for Logistics, including: - Identifying AI and data-related business requirements and service standards (e.g., transaction processing speed, data mining and reporting capabilities, data security, scalability, etc.). - Developing high-level enterprise data models and conceptual views of related data sub-architectures (e.g., database, data integration, data warehouse/business intelligence, reporting, metadata, and content management architectures). - Optimizing overall data/information flow by reducing redundancy and enabling accessibility within security boundaries. - Implement and deliver AI strategy, solutions, and literacy across the Logistics organization. Senior Manager Data Analytics Logistics & Procurement oversees one or more Data Engineering Disciplines. This is an individual contributor role. Essential Duties and Responsibilities Technical Standards and Governance: - 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. - Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice. Architecture Design and Review: - 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. Cross-Disciplinary Expertise: - Leveraging expertise in software development, quality engineering, and infrastructure engineering to provide holistic architectural solutions. - Ensuring seamless integration of development, quality, and infrastructure components. Technology Evaluation and Selection: - 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. Collaboration and Communication: - Collaborating with development, quality, and infrastructure teams to ensure alignment with enterprise architecture standards. - Facilitating communication and knowledge sharing across teams and departments Continuous Improvement: - 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. Performance and Scalability: - Designing solutions that ensure high performance, scalability, and reliability. - Conducting performance assessments and optimizations to meet enterprise requirements. Disaster Recovery and Business Continuity: - Ensuring that all architectural solutions include robust backup and recovery mechanisms. Quality Assurance and Testing: - Ensuring that automated testing, continuous integration, and continuous deployment (CI/CD) practices are implemented and consistently applied. Documentation and Knowledge Management: - Creating and maintaining comprehensive architectural documentation, including diagrams, standards, and guidelines. - Ensuring that documentation is accessible and up to date for all stakeholders. Vendor and Tool Management: - Manage relationships with technology vendors and ensure that tools and services meet enterprise and Logistics standards. - Evaluating and integrating third-party solutions as needed. Incident Management and Troubleshooting: - Providing high-level support for incident management and troubleshooting complex technical issues. - Conducting root cause analysis and implementing preventive measures. Capacity Planning and Resource Management: - Conducting capacity planning ensures enterprise architecture can handle current and future workloads. - Managing resources effectively to support enterprise-wide and Logistic initiatives. Training and Mentorship: - 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.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Tyson Foods? Share your experience