Senior Manager, Logistics Analytics & Optimization

Uber Freight • Seattle, WA

6d • 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 of advanced technical teams, evaluating and achieving commercial business objectives through rigorous analysis, modeling, collaboration, and automation. It sits at the intersection of commercial strategy, advanced analytics, and operational execution, and partners closely with Product, Operations, Data Science, and Leadership to improve network efficiency, service, and profitability.

The Senior Manager leads advanced professional-level engineers, establishes team goals and performance measures, coaches and develops team members, and builds an inclusive, adaptable team culture. The role sets the analytical agenda across 3PL and 4PL businesses, translating commercial objectives and complex freight economics into scalable network optimization solutions and executive recommendations.

The position directs network analytics and optimization work covering freight routing, capacity utilization, cost structures, continuous moves, dedicated fleets, loop-based networks, and specialized routing strategies. It oversees automated analytics frameworks, governance and documentation standards, adoption measures, operational feedback loops, and the iterative improvement of decision products. The role also conducts and guides detailed analysis using SQL, Python, Excel, GCP, databases, ETL pipelines, and business intelligence tools.

Uber Freight helps companies move goods more reliably and efficiently by combining technology, people, and transportation capacity, using real-time data from millions of shipments. It works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight.

Requirements

• At least 8 years of experience in logistics, transportation, freight brokerage, or supply chain network design.
• At least 3 years of experience directly 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 using Tableau, Power BI, or similar tools.
• Proven track record 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 understanding of freight market cycles, contract versus spot dynamics, carrier procurement, logistics network sensitivities, and margin elasticity.
• Ability to direct teams in formulating optimization, simulation, and predictive models for continuous moves, dedicated fleets, and load matching.
• Excellent organizational and prioritization skills in ambiguous, fast-paced environments.
• Strong communication and executive presence, including the ability to negotiate cross-functional priorities 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 using 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, and support team productivity and goal achievement.
• Coach and develop team members through regular feedback and individualized professional growth opportunities; foster resilience, adaptability, trust, and an inclusive team culture.
• Evaluate commercial objectives and leadership requests to define project roadmaps for freight routing optimization, capacity utilization, and transportation network cost structures.
• 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 can scale across the organization.
• Identify network inefficiencies and develop solutions to improve margin, service reliability, and scalability.
• Support continuous-move, dedicated-fleet, loop-based network, and specialized routing initiatives.
• Partner with commercial leadership on scenario analysis and data-backed recommendations, owning analytical decision support across 3PL and 4PL businesses.
• Promote collaboration across Product, Sales, Operations, and other departments to drive continuous improvement and better outcomes.
• Ensure decision models are adopted in frontline workflows and software systems, and connect technical solutions to margin improvement and account retention.
• Establish prioritization and resource-allocation frameworks that balance commercial escalations with long-term modeling roadmaps, while managing 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 remain transparent, auditable, and resilient to personnel changes.
• Implement procedures, analytical toolsets, and optimization methodologies, and promote continuous learning.
• Define adoption KPIs and operational feedback loops, and direct iterative refinement of decision products to improve adoption and measurable business value.
• Conduct deep-dive 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 tools.
• Guide teams in structuring ambiguous network design problems and formulating optimization, simulation, and predictive models.
• Communicate and negotiate cross-functional priorities, coach technical talent, and present analytical outputs as clear, actionable decision paths.

Benefits

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

What This Job Offers

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