Senior Manager, Logistics Analytics & Optimization

Uber Freight•Rogers, AR

10d•Hybrid

About The Position

Uber Freight is seeking a Senior Manager, Logistics Analytics & Optimization to lead the design, analytics, and optimization of complex freight networks at scale. The role is a strategic owner responsible for managing advanced technical teams, evaluating commercial objectives, and supporting strategic decisions through rigorous analysis, modeling, and collaboration. It sits at the intersection of commercial strategy, advanced analytics, and operational execution, with accountability for results, analytics outcomes, and automation. The Senior Manager leads a team of advanced professional-level engineers and collaborates with data scientists. The role partners closely with Product, Operations, Data Science, commercial leadership, and other leaders to improve efficiency, service, and profitability across Uber Freight’s network. It owns analytics decision support across 3PL and 4PL businesses and directs the development of scalable, automated solutions, network models, and operational decision products. The role requires deep commercial understanding of freight economics and network optimization, along with executive communication skills. It involves managing team priorities, costs, headcount, and delivery commitments; establishing governance and documentation standards; and ensuring analytical tools are adopted and deliver measurable business value. The position uses SQL, Python, Excel, GCP tools, large-scale datasets, ETL pipelines, and BI tools such as Tableau or Power BI. The position is full time and hybrid. U.S. employees working more than 30 hours per week are eligible for benefits including company-sponsored health, dental, and vision plans, 401(k) match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, and life insurance. U.S.-based employees may also be eligible for performance or sales incentive bonuses, Uber Freight equity awards, and other role-dependent compensation.

Requirements

At least 8 years of experience in logistics, transportation, freight brokerage, or supply chain network design.
At least 3 years of direct experience managing advanced analytical or engineering teams.
Advanced proficiency in SQL and Excel, including complex formulas and 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.
A 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 in optimization methodologies for routing, capacity planning, and service-level trade-offs.
Experience or familiarity guiding data science or analytics teams in deploying AI-powered decision-support tools, conversational analytics, or automated diagnostic workflows.
Deep commercial understanding of freight market cycles, contract versus spot dynamics, carrier procurement, logistics network sensitivities, and margin elasticity.
Strong organizational and prioritization skills in ambiguous, fast-paced environments.
High-impact communication and executive presence, including the ability to negotiate cross-functional priorities, coach technical talent, and align commercial and engineering perspectives.
Ability to structure ambiguous network-design problems and direct teams developing optimization, simulation, and predictive models.

Nice To Haves

Experience with VBA or legacy analytical tools.
Hands-on experience using Python for data analysis and modeling.
Experience working in the Google Cloud Platform (GCP) ecosystem.
Practical experience applying agentic frameworks, such as tool-calling and semantic layers, to automate routine commercial reporting and root-cause analysis over transportation datasets.

Responsibilities

Manage a team of advanced technical professionals; set expectations and KPIs, delegate work, and maximize productivity toward team goals.
Coach and develop team members through regular constructive feedback and individualized growth opportunities.
Foster an adaptable, resilient, inclusive, and authentic team culture.
Design and define analytics project roadmaps addressing freight routing optimization, capacity utilization, and cost structures across complex transportation networks.
Integrate data across sources and disciplines to inform decisions on cost, capacity, operational constraints, and service-level trade-offs using optimization techniques.
Direct the design of automated analytics frameworks and implement scalable organizational procedures.
Identify network inefficiencies and develop solutions to improve margin, service reliability, and scalability.
Support initiatives involving continuous moves, dedicated fleets, loop-based networks, and specialized routing strategies.
Partner with commercial leadership to deliver scenario analysis and data-backed recommendations, owning analytical decision support across 3PL and 4PL businesses.
Promote collaboration among Product, Sales, Operations, and other departments to drive continuous improvement.
Connect analytics teams and ensure decision models are adopted in frontline workflows and software systems.
Translate business interconnectedness into technical solutions that improve margin and account retention.
Establish prioritization and resource-allocation frameworks balancing commercial escalations and long-term network modeling roadmaps; manage team costs, headcount, and project commitments.
Synthesize freight economics, optimization outputs, and econometric analyses into executive narratives that guide C-suite decisions and align cross-functional leaders.
Establish governance frameworks and documentation standards so network models, data pipelines, and analytical tools are transparent, auditable, and resilient to personnel changes.
Implement procedures, analytical toolsets, and optimization methodologies, promoting continuous learning.
Define adoption KPIs and operational feedback loops, and direct iterative refinement of decision products to increase adoption and measurable business value.
Conduct in-depth analyses using SQL, Python, advanced Excel formulas, and GCP tools to support engineering and business decisions.
Build and maintain repeatable analytical frameworks for network evaluation and performance monitoring.
Work with large-scale datasets, databases, and ETL pipelines in fast-moving operational environments.
Develop dashboards, KPIs, and operational reporting using Tableau, Power BI, or similar BI tools.
Guide teams in formulating optimization, simulation, and predictive models for network design and freight operations.
Communicate and report analytical outputs clearly, providing intuitive and actionable decision paths for executives and stakeholders.