Uberfreight Senior Manager leads logistics analytics and optimization to improve freight network efficiency and profitability. Manages advanced technical teams and collaborates cross-functionally to deliver scalable solutions.
Responsibilities
Uber Freight is seeking a Senior Manager, Logistics Analytics & Optimization to lead the design, analytics, and optimization of complex freight networks at scale. This role operates as a strategic owner, managing advanced technical teams to evaluate and achieve commercial business objectives, supporting strategic decisions through rigorous analysis, modeling, and collaboration. Sitting at the intersection of commercial strategy, advanced analytics, and operational execution, you will be responsible for achieving overarching results, delivering analytics outcomes, and driving automation. You will lead a team of advanced professional-level engineers and collaborate with data scientists, translating interconnected business dynamics into scalable, automated solutions. This role partners closely with Product, Operations, Data Science, and Leadership to improve efficiency, service, and profitability across Uber Freight’s network.
People Management & Leadership
Manage a team of advanced technical professionals.
Set clear expectations, establish KPIs, and effectively delegate to maximize team productivity and ensure goals are met.
Coach and develop the team by providing regular, constructive feedback and proactively identifying key experiences that support individualized professional growth.
Model resilience and adaptability, explaining the "big picture" to coach team members through uncertainty and fast-paced operational shifts.
Build trust by promoting an authentic, positive team culture that values diversity, inclusivity, and unique perspectives.
Evaluate commercial objectives and leadership asks to design and define the roadmap for analytics projects related to freight routing optimization, capacity utilization, and cost structures across complex transportation networks.
Integrate data from various sources and disciplines to drive insights and decisions regarding cost, capacity, operational constraints, and service-level trade-offs while applying optimization techniques.
Direct the design of automated analytics frameworks and suggest/implement new procedures that scale across the organization.
Identify network inefficiencies and design solutions that improve margin, service reliability, and scalability.
Qualification
8+ years of experience in logisticsFamiliarity with databasesProven track record of managing costsDeep expertise in operations research
Required
8+ years of experience in logistics, transportation, freight brokerage, or supply chain network design.
3+ years of experience directly managing advanced analytical or engineering teams.
Advanced proficiency in SQL and Excel (complex formulas, scenario modeling).
Familiarity with databases, ETL workflows, and large-scale operational datasets.
Experience building dashboards and operational metrics in Tableau, Power BI, or similar tools.
Proven track record of managing costs, overseeing staffing, and achieving upper-level strategic results.
Deep expertise in operations research, network optimization, and commercial freight economics.
Expertise with optimization methodologies related to routing, capacity planning, and service-level trade-offs.
Experience/familiarity with guiding data science or analytics teams in deploying AI-powered decision support tools, conversational analytics, or automated diagnostic workflows.
Preferred
Experience with VBA or legacy analytical tools.
Hands-on experience with Python for data analysis and modeling is a plus.
Experience working within the Google Cloud Platform (GCP) ecosystem.
Practical experience applying agentic frameworks (e.g., tool-calling, semantic layers) to automate routine commercial reporting and root-cause analysis over transportation datasets.