Senior Manager, Logistics Analytics & Optimization

Uber Freight • Frisco, TX

7d • 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. This strategic role manages advanced technical teams and uses rigorous analysis, modeling, and cross-functional collaboration to support commercial objectives and strategic decisions. It sits at the intersection of commercial strategy, advanced analytics, and operational execution, with accountability for analytics outcomes, automation, efficiency, service, and profitability across Uber Freight’s network.

The Senior Manager leads advanced professional-level engineers and collaborates with data scientists. The role partners with Product, Operations, Data Science, commercial leadership, and other stakeholders to translate interconnected business dynamics into scalable, automated solutions. It covers team leadership and development; freight routing, capacity, and cost optimization; commercial decision support; executive communication; analytical governance and continuous improvement; and hands-on data analysis and technical development.

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 related to 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 acumen across freight market cycles, contract-versus-spot dynamics, carrier procurement, logistics-network sensitivities, and margin elasticity.
• Ability to structure ambiguous network-design problems and direct teams in formulating optimization, simulation, and predictive models.
• Strong organizational and prioritization skills in ambiguous, fast-paced environments.
• Strong communication and executive presence, including the ability to negotiate cross-functional priorities, coach technical talent, and align commercial and engineering perspectives.
• Ability to produce clear executive reporting and visualizations that make analytical outputs intuitive and actionable.

Nice To Haves

• Experience with VBA or legacy analytical tools.
• Hands-on experience with Python for data analysis and modeling.
• Experience working within 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, coach team members, and support their professional development.
• Build a positive, inclusive team culture and help the team adapt to uncertainty and operational change.
• Evaluate commercial objectives and leadership requests to define roadmaps for analytics projects involving freight routing optimization, capacity utilization, and transportation-network costs.
• Integrate data from multiple sources and disciplines to analyze cost, capacity, operational constraints, and service-level trade-offs using optimization techniques.
• Direct the design of automated analytics frameworks and implement procedures that scale across the organization.
• Identify network inefficiencies and design 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 across Product, Sales, Operations, and Analytics, and ensure decision models are adopted in frontline workflows and software systems.
• Connect technical solutions to margin improvement and account retention through an understanding of business interdependencies.
• Establish prioritization and resource-allocation frameworks that balance commercial escalations with 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, align leaders, and resolve stakeholder friction.
• 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 tools, and optimization methods that support continuous learning across the organization.
• 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, and GCP tools to support engineering and business decisions.
• Build and maintain repeatable analytical frameworks for network evaluation and performance monitoring, working with large datasets, databases, and ETL pipelines.
• Develop dashboards, KPIs, and operational reporting using Tableau, Power BI, or similar business intelligence tools.

Benefits

• Company-sponsored health plan for eligible U.S. employees working more than 30 hours per week.
• Dental and vision benefits for eligible U.S. employees working more than 30 hours per week.
• 401(k) match for eligible U.S. employees working more than 30 hours per week.
• Financial and mental wellness benefits.
• Parental leave.
• Short- and long-term disability coverage.
• Life insurance.
• U.S.-based employees may be eligible for a performance or sales incentive bonus program.
• U.S.-based employees may be eligible to participate in Uber Freight equity awards.
• Other types of compensation may be available depending on the role.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed