Join Schneider Electric as the NAM Transport Control Tower Data and Analytics leader! In this pivotal role, you will be the Process Referent and lead the Transport Data Strategy, manage important processes for Customer Track & Trace visibility and become the key Project Manager and Subject Matter Expert for Control Tower.
Key Responsibilities
Process referent of LTP (Lead Transport Provider) and Transport Data, serving as the main owner responsible to proactively maintain the process, highlight/troubleshoot problems and enforce compliance of processes for proper program operation and data accuracy.
Lead onsite LTP/LLP (lead transport/logistics provider) in EDI/API, interface management, shipment exception with built-in process quality.
Manage Track & Trace visibility - monitoring internal and external systems, coordinating with IT systems team, Logistics Messaging, LTP and service providers to enable high levels of on-time visibility to customers (internal and external).
Support Transport Master Data and synchronization between different systems, considering ERPs, WMS, TMS and middleware.
Lead Transport Data Strategy for North America (Data Lake), managing and coordinating activities with GSC Analytics, IT Systems, LTP and service providers to develop reliable, accurate and timely data.
Lead and support Transit times calculations, identifying and considering seasonal events, trends and need to update systems for precise planning and customer communication.
Use historical shipment exception data to identify and lead continuous improvement projects that mitigate future customer delivery risk exposure.
Foster, adopt and deploy advanced data analytics tools and predictive models to transportation data, leveraging Artificial Intelligence and Machine Learning.
Develop AD-HOC dashboards and KPIs visibility and insightful inputs to key process.
Act as Project Manager and Subject Matter Expert for key transformational projects in the Control Tower.
Collaborate with GSC Global and central NAM planning team to develop End to End program enhancing synergies between the multiple actors of the Supply Chain (Logistics, Transport, Control Tower, Planning, Procurement and others),
Serve as main point of contact for GSC Global Transport on data architecture and strategies.
Key Interfaces:
Supply Chain Planning - Global and Central team
LTP, LLP and transport service providers
Transport Operations team
Data analytics team
IT Solutions Teams (Master Data, ERP)
Customer Delivery Experience)
Qualifications:
Education: Bachelor's degree in supply chain management, Logistics, Industrial Engineering, or a related field.
Experience: Minimum of 5 years in Data Analytics
SAP Order Execution, Oracle, Manhattan WMS and TMS
Proficiency in Data Analytics and programming (SQL, Python, etc), Data/dashboard display (Tableau, PowerBI) and excellent Microsoft Excel (large database crunching, analytical skills to transform raw data into useful information for decision-making, pivot tables, complex formulas and VBA)
Languages: Advanced proficiency in English; fluency in Spanish is a plus.
Skills Required:
Digital Transformation Leadership: Demonstrated ability to spearhead initiatives that enhance digital capabilities within transportation.
Data Analytics Proficiency: Advanced knowledge on database programming (SQL, Python, etc), Data/dashboard display (Tableau, PowerBI) and excellent Microsoft Excel skills for data analysis and financial insights.
Interpersonal Skills: Exceptional collaboration, communication, and influencing skills to effectively lead teams and manage stakeholder relationships.
Project Management: Experience in leading cross-functional teams to develop and execute logistics strategies.
Self-Motivated: Ability to work independently while effectively managing relationships.
Ability to work in ambiguous environment, disrupt the status quo, fail fast and define and change the strategy/solution while executing.
Business Operations Understanding: Strong grasp of operational support, manufacturing, and supply chain processes.
Diverse Transport Modes Knowledge: experience across various domestic transport modes, including LTL, domestic parcel and air, full truckload, fleet management, and cross-border operations.
Let us learn about you! Apply today.
You must submit an online application to be considered for any position with us. This position will be posted until filled.
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You must submit an online application to be considered for any position with us. This position will be posted until filled.
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Join Schneider Electric as the NAM Transport Control Tower Data and Analytics leader! In this pivotal role, you will be the Process Referent and lead the Transport Data Strategy, manage important processes for Customer Track & Trace visibility and become the key Project Manager and Subject Matter Expert for Control Tower.
Key Responsibilities
Process referent of LTP (Lead Transport Provider) and Transport Data, serving as the main owner responsible to proactively maintain the process, highlight/troubleshoot problems and enforce compliance of processes for proper program operation and data accuracy.
Lead onsite LTP/LLP (lead transport/logistics provider) in EDI/API, interface management, shipment exception with built-in process quality.
Manage Track & Trace visibility - monitoring internal and external systems, coordinating with IT systems team, Logistics Messaging, LTP and service providers to enable high levels of on-time visibility to customers (internal and external).
Support Transport Master Data and synchronization between different systems, considering ERPs, WMS, TMS and middleware.
Lead Transport Data Strategy for North America (Data Lake), managing and coordinating activities with GSC Analytics, IT Systems, LTP and service providers to develop reliable, accurate and timely data.
Lead and support Transit times calculations, identifying and considering seasonal events, trends and need to update systems for precise planning and customer communication.
Use historical shipment exception data to identify and lead continuous improvement projects that mitigate future customer delivery risk exposure.
Foster, adopt and deploy advanced data analytics tools and predictive models to transportation data, leveraging Artificial Intelligence and Machine Learning.
Develop AD-HOC dashboards and KPIs visibility and insightful inputs to key process.
Act as Project Manager and Subject Matter Expert for key transformational projects in the Control Tower.
Collaborate with GSC Global and central NAM planning team to develop End to End program enhancing synergies between the multiple actors of the Supply Chain (Logistics, Transport, Control Tower, Planning, Procurement and others),
Serve as main point of contact for GSC Global Transport on data architecture and strategies.