Logistics Data Analytics Manager

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Estimated Wage Range $130,000 - $170,000/Annually

Travel Requirement: 21-30%

COMPANY OVERVIEW
Amrize is building North America. From bridges and railways to data centers, schools, offices and homes, our solutions are inside the buildings and infrastructure that connect people and advance how we live. And we invite you to come and build with us.

As the partner of choice for professional builders, we offer advanced branded solutions from foundation to rooftop. Wherever our customers are, whatever their job, we’re ready to deliver. Our 19,000 colleagues work across 1,000 sites supported by an unparalleled distribution network. Infrastructure, commercial and residential, new build, repair and refurbishment:
We’re in every construction market.

Amrize listed on the New York Stock Exchange and the SIX Swiss Exchange on June 23, 2025, following our spinoff as an independent company. Join us and build your ambition.

We’re seeking a Logistics Data Analytics Manager who’s ready to put your skills to work on projects that matter — and build a career with a company that’s building North America.

Job Title: Logistics Data Analytics Manager | Req : 18281 |

Location:

Plano Willow Bend Office TX

The Logistics Data Analytics Manager provides dedicated ownership of network optimization across ACM, supporting Ready Mix, Aggregates, Asphalt and Construction with an initial focus on road logistics. This is a highly analytical, data-driven role responsible for connecting material flows, volumes, haul distance, capacity, equipment, asset utilization and cost into a clear view of network performance.

The role uses data, modeling and operational insight to identify inefficiencies, quantify opportunities and develop actionable recommendations that improve utilization, capacity planning and total logistics cost. This position works cross-functionally with Finance, Operations and Procurement to validate assumptions, evaluate trade-offs and turn complex data into practical network decisions.

• Develop and maintain an end-to-end, data-driven view of the ACM road logistics network, connecting sources, plants, projects, customers, volumes, miles, equipment, capacity and logistics cost.
• Use detailed transportation and operational data to identify and quantify network inefficiencies across haul distance, cross-market movements, truck turns, cycle and wait times, loaded versus empty miles, equipment positioning and network bottlenecks.
• Build forward-looking capacity and demand models that translate current and forecasted volumes, seasonality and major project demand into truck, equipment, geographic and cost requirements.
• Improve fleet and asset productivity through quantitative analysis of truck utilization, turns per truck, internal fleet utilization, backhauls, equipment positioning and third‑party capacity requirements.
• Identify unnecessary miles, cost and complexity across the network, quantify the business impact and work cross‑functionally with Finance, Operations and Procurement to implement improvements.
• Develop scenario models and business cases to quantify the logistics and financial impact of volume changes, major projects, source constraints, staging opportunities, capacity repositioning and alternative network configurations.
• Translate network analysis into clear capacity, sourcing and commercial requirements, partnering cross‑functionally with Procurement when external carrier capacity or market action is required.
• Partner with Finance, Operations and Procurement to validate data, assumptions and financial impacts, align on recommendations and support decisions that improve network…