Henkel AG & Co. KGaA
Sr Mgr Logistics Excellence & Data Analytics
Henkel AG & Co. KGaA, Culver City, California, United States, 90232
At Henkel, you can build on a strong legacy and leading positions in both industrial and consumer businesses to reimagine and improve life every day. If you love challenging the status quo, join our community of over 47,000 pioneers around the globe. Our teams at Henkel Consumer Brands continuously drive the evolution in dynamic categories: Laundry & Home Care and Hair. With our trusted brands, including Persil and Schwarzkopf, our cutting-edge technologies and our disruptive solutions, you will have countless opportunities to explore new paths and develop your skills. Grow within our future-led businesses, our diverse and vibrant culture and find a place where you simply belong. All to leave your mark for more sustainable growth.Dare to make an impact?YOUR ROLE
The Logistics Excellence & Data Analytics Manager is responsible for driving operational efficiency and performance improvements within the logistics function by leveraging data analytics and process optimization. This role combines in-depth knowledge of logistics processes with advanced data analysis techniques to ensure seamless operations, cost reductions, and enhanced service levels. The manager will work cross-functionally to implement best practices and innovations, leading initiatives that improve overall supply chain performance.Key Responsibilities:
Logistics Process Improvement:
Lead initiatives aimed at optimizing logistics operations, including transportation, warehousing, and distribution.Identify opportunities for cost reduction, efficiency improvement, and process standardization across the supply chain.Develop and implement continuous improvement programs to enhance service levels and productivity.
Data Analytics and Reporting (across our supply chain):
Utilize data analytics to monitor key performance indicators (KPIs), identify trends, and provide actionable insights for decision-making.Design and maintain dashboards and reports that track logistics performance, costs, and service metrics.Analyze historical and real-time data to forecast future logistics demands and inform capacity planning.
Project Management:
Oversee key logistics projects from conception to completion, ensuring alignment with business goals and timelines.Collaborate with internal teams and external partners to ensure smooth project execution and timely delivery.Implement and track the success of logistics excellence initiatives.
Collaboration and Stakeholder Management:
Act as a liaison between logistics, procurement, operations, IT, and other key stakeholders to ensure seamless communication and alignment on objectives.Foster strong relationships with third-party logistics providers (3PLs) and vendors to drive performance and cost optimization.Present findings and recommendations to senior leadership, translating complex data into clear business strategies.
Technology Integration:
Identify and integrate advanced technology solutions (e.g., warehouse management systems, transportation management systems) to drive automation and efficiency.Stay updated on industry trends and emerging technologies in logistics and data analytics, recommending tools and solutions that improve operations.
Risk Management and Compliance:
Monitor compliance with regulatory requirements, ensuring logistics operations meet all legal standards.Proactively identify and mitigate risks related to logistics and supply chain disruptions.
Leadership and Team Development:
Lead and mentor a team of logistics professionals, providing guidance and support in data analysis and process improvement efforts.Foster a culture of excellence, innovation, and continuous improvement within the logistics team.
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The Logistics Excellence & Data Analytics Manager is responsible for driving operational efficiency and performance improvements within the logistics function by leveraging data analytics and process optimization. This role combines in-depth knowledge of logistics processes with advanced data analysis techniques to ensure seamless operations, cost reductions, and enhanced service levels. The manager will work cross-functionally to implement best practices and innovations, leading initiatives that improve overall supply chain performance.Key Responsibilities:
Logistics Process Improvement:
Lead initiatives aimed at optimizing logistics operations, including transportation, warehousing, and distribution.Identify opportunities for cost reduction, efficiency improvement, and process standardization across the supply chain.Develop and implement continuous improvement programs to enhance service levels and productivity.
Data Analytics and Reporting (across our supply chain):
Utilize data analytics to monitor key performance indicators (KPIs), identify trends, and provide actionable insights for decision-making.Design and maintain dashboards and reports that track logistics performance, costs, and service metrics.Analyze historical and real-time data to forecast future logistics demands and inform capacity planning.
Project Management:
Oversee key logistics projects from conception to completion, ensuring alignment with business goals and timelines.Collaborate with internal teams and external partners to ensure smooth project execution and timely delivery.Implement and track the success of logistics excellence initiatives.
Collaboration and Stakeholder Management:
Act as a liaison between logistics, procurement, operations, IT, and other key stakeholders to ensure seamless communication and alignment on objectives.Foster strong relationships with third-party logistics providers (3PLs) and vendors to drive performance and cost optimization.Present findings and recommendations to senior leadership, translating complex data into clear business strategies.
Technology Integration:
Identify and integrate advanced technology solutions (e.g., warehouse management systems, transportation management systems) to drive automation and efficiency.Stay updated on industry trends and emerging technologies in logistics and data analytics, recommending tools and solutions that improve operations.
Risk Management and Compliance:
Monitor compliance with regulatory requirements, ensuring logistics operations meet all legal standards.Proactively identify and mitigate risks related to logistics and supply chain disruptions.
Leadership and Team Development:
Lead and mentor a team of logistics professionals, providing guidance and support in data analysis and process improvement efforts.Foster a culture of excellence, innovation, and continuous improvement within the logistics team.
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