Logistic Manager Jobs

About The Position

Requirements

• Proven experience leading teams in operations, analytics, or supply chain environments.
• Strong conceptual and root-cause problem-solving abilities with a mindset focused on fixing systems.
• Solid understanding of data analysis, including experience working with large datasets, Excel, Power BI, and database concepts.
• Demonstrated ability to manage multiple projects and competing priorities in a fast-paced environment.
• Strong organizational, accountability, and follow-through skills.
• Collaborative leadership style with the ability to influence without authority.
• Bachelor’s degree required.
• Requires a minimum of 4-6 years of work experience, at least three of which must have been in the transportation industry.
• An equivalent combination of education and experience may be substituted.

Nice To Haves

• Degree in business administration, logistics or supply chain preferred.

Responsibilities

• Lead and coordinate all processing and support for execution related to new store openings, remodels, relocations, and inventory events.
• Ensure accurate and timely execution and communication to store facing reporting.
• Evaluate end-to-end processes to understand their purpose, identify inefficiencies, and redesign or create solutions that address root causes.
• Proactively identify gaps, risks, and inefficiencies in execution and data, and drive corrective action without requiring escalation or direction.
• Ensure all operational reporting is accurate, timely, and accompanied by meaningful insights that support decision-making.
• Oversee the development and enhancement of dashboards, tools, and reports to improve visibility into: On-time delivery performance, Asset utilization, Store and carrier communication, Claims and damages.
• Partner cross-functionally with Transportation, Distribution, Store Operations, and IT to collect, validate, and improve data sources.
• Apply strong working knowledge of large datasets, Excel, Power BI, and database concepts to guide team output, validate analysis, and identify data quality issues.
• Lead, coach, and develop a team of individuals responsible for operational execution and analytics.
• Hold team members accountable for open projects, deliverables, and timelines while fostering a clear understanding of priorities.
• Actively manage workload and capacity, helping the team prioritize effectively and monitoring progress, surfacing risks early, and driving resolution.
• Lead root cause analysis to determine underlying issues and implement sustainable solutions.
• Create structure around problem-solving by defining actions, owners, and follow-up to ensure issues are fully resolved.
• Translate insights into actionable recommendations that improve operational performance and reliability.