Manager Data Analyst Logistics Jobs (NOW HIRING)

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.
Qualifications:
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 technical patterns, influence decision-makers, and establish those patterns as new technical standards.
Relocation Assistance Eligible:
No
Work Shift:
1ST SHIFT (United States of America)
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The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.
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We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.
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