Description
The LCL Manager Americas is responsible for the execution of the global LCL product strategy in Americas. He/she acts as revenue manager from door to door across the network, steering volumes, managing buying rates and validating Minimum Selling Rates (MSRs) to maximize CM/III (gross profit) and CM V of the Ocean Freight LCL Product.
- Professional and disciplinary management and development of employees (incl. training and further education) as well as implementation of long-term resource planning.
- Improve regional LCL product performance in terms of profitability, volume growth, network coverage and quality performance.
- Implementation of the global LCL product strategy in Americas as well as definition and execution of a regional LCL product and network strategy.
- Develop the regional LCL network in terms of consolidation services, CFS/hubs, gateways incl. geofencing by analyzing and initiating corrective actions with the respective country ocean freight management.
- Ensuring and complying with global LCL NVOCC guidelines and relationship management with LCL NVOCC partners.
- Continuous development of the cooperation between branches and network-countries.
- Support the Sales organization to develop the relationship with large volume prospects and ultimately to win high-volume accounts for the organization.
- Supporting the regional sales organization and tender management with tariff and performance-related information and ensure frequent validation of Market Selling Rates (MSR) proposed by Country Sales.
- Drive & support local ‘Interlocking’ projects with the European Logistics (EL) Division and guide and support country ocean freight management with such projects.
- Collection, analysis and communication of relevant market information to the sea freight and sales organization.
- Other duties as assigned by Manager
Requirements
- Bachelor’s degree preferred or equivalent related work experience.
- 5+ years’ experience in logistics or freight forwarding preferred.
- Good business acumen and data analysis skills.
- Professional demeanor, including excellent verbal and written communication skills.
- Strong listening and presentation skills.
- Take charge attitude and the ability to work independently or as part of a team.
- Stellar organizational skills and the ability to meet deadlines.
- Proficiency in Windows programs, specifically Word. Excel and PowerPoint.