Key Responsibilities

Logistics Operations & Analytics

• Analyze logistics performance metrics, transportation costs, service levels, inventory flows, and operational KPIs.
• Develop dashboards, reports, and performance scorecards using business intelligence tools, AI-assisted analytics, and automated reporting capabilities.
• Identify and implement cost reduction and productivity improvement opportunities across the logistics network.
• Leverage AI-enabled insights to identify shipment delays, cost anomalies, service risks, and operational exceptions for proactive follow-up.
• Collaborate with carriers, forwarders, warehouses, and internal stakeholders to resolve operational challenges.

Global Logistics Project Management

• Lead and coordinate global logistics transformation projects across multiple regions and sites.
• Develop project plans, milestones, risk assessments, and implementation roadmaps.
• Work with cross-functional teams including Supply Chain, Manufacturing, IT, Planning, Procurement, Finance, and Trade Compliance.
• Track project progress, manage stakeholder communications, and escalate risks when required.
• Support logistics network optimization, process standardization, new site ramp-up initiatives, and AI-enabled workflow redesign across global logistics operations.
• Drive continuous improvement programs that enhance service, efficiency, operational resilience, and scalable AI adoption across logistics processes.

AI, Automation & Digital Transformation

• Identify opportunities to leverage AI, machine learning, and automation tools to improve logistics efficiency and decision-making.
• Design and implement process automation solutions using tools such as Microsoft Power Automate, AI Builder, Azure AI Services, and related digital platforms.
• Develop use cases utilizing AI for shipment visibility, predictive analytics, document processing, workflow automation, and exception management.
• Evaluate emerging technologies and recommend scalable solutions to improve logistics operations.
• Partner with business users, logistics service partners, SMAI and IT teams to implement and sustain digital transformation initiatives.
• Measure and report productivity gains and business value delivered through automation projects.

Logistics Systems Management

• Serve as a business owner and subject matter expert for logistics systems including SAP, ShipDoc, transportation management systems, warehouse systems, and logistics databases.
• Gather business requirements and translate them into system enhancement requests, AI use cases, automation opportunities, and data improvement needs.
• Lead system testing, user acceptance testing (UAT), AI solution validation, and deployment activities.
• Coordinate system upgrades, configuration changes, and process integrations with IT teams and solution providers.
• Maintain system documentation, process flows, and operational procedures.
• Provide user training and support to ensure effective adoption of new system capabilities, AI tools, dashboards, and automated workflows.
• Monitor data integrity, system performance, AI output reliability, and compliance with business requirements.

Continuous Improvement & Governance

• Establish and maintain standard operating procedures and process documentation.
• Support logistics governance, controls, and audit requirements.
• Drive process harmonization, best practice sharing, and reusable AI-enabled solutions across global sites.
• Develop business cases and ROI analyses for logistics improvement, automation, and AI-enabled transformation projects.
• Support strategic initiatives aligned with organizational objectives and supply chain transformation goals.

Qualifications

Education

• Bachelor's Degree in Supply Chain Management, Logistics, Engineering, Business, Information Systems, Data Analytics, or related field.

Experience

• 1-2 years of experience in logistics, supply chain, transportation, operations analytics, or related functions.
• Experience managing cross-functional projects in a global environment.
• Experience with SAP and logistics execution systems preferred.
• Experience with business intelligence, data visualization, AI tools, or automation technologies preferred.