Senior Manager, Logistics Analytics & Optimization
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 decisions through rigorous analysis, modeling, and cross-functional collaboration. It sits at the intersection of commercial strategy, advanced analytics, and operational execution, with accountability for business results, analytics outcomes, and automation. The Senior Manager leads advanced professional-level engineers and collaborates with data scientists, translating interconnected business dynamics into scalable, automated solutions. This position partners with Product, Operations, Data Science, commercial leadership, and other leaders to improve efficiency, service, and profitability across Uber Freight’s network. It oversees analytics for freight routing optimization, capacity utilization, cost structures, network design, commercial decision support, and ongoing performance monitoring across 3PL and 4PL businesses. The role also establishes team priorities, resource allocation, governance, documentation standards, adoption measures, and feedback loops. It communicates complex freight economics and analytical results through executive narratives and reporting. The position uses SQL, Python, Excel, GCP tools, databases, ETL pipelines, and BI platforms to conduct analyses, build frameworks, and develop dashboards and operational metrics.
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 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 concerning 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 developing 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 executive reporting and visualizations that present clear decision paths and actionable analytics.
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, provide feedback, and support individual development.
- Build a positive, inclusive team culture and help team members navigate uncertainty and operational change.
- Evaluate commercial objectives and leadership requests to define roadmaps for analytics projects involving freight routing optimization, capacity utilization, and network cost structures.
- Integrate data from multiple sources 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 teams; ensure decision models are adopted in frontline workflows and software systems.
- Translate business analysis and technical solutions into margin improvement and account retention outcomes.
- Establish team prioritization and resource allocation frameworks, balancing commercial escalations with long-term modeling roadmaps while managing costs, headcount, and delivery 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 to keep models, data pipelines, and analytical tools transparent, auditable, and resilient to personnel changes.
- Implement new procedures, analytical toolsets, and optimization methodologies, fostering continuous learning.
- Define adoption KPIs and operational feedback loops, and direct iterative refinement of decision products to improve adoption and measurable business value.
- Conduct 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 structuring network design problems and formulating optimization, simulation, and predictive models.
- Provide executive reporting and visualization that makes analytical outputs intuitive, actionable, and clear.
Benefits
- Company-sponsored health plan
- Dental benefits
- Vision benefits
- 401(k) match
- Financial and mental wellness benefits
- Parental leave
- Short- and long-term disability coverage
- Life insurance
- Performance or sales incentive bonus program may be available to U.S.-based employees, depending on the role
- Uber Freight equity awards may be available to U.S.-based employees, depending on the role
- Other compensation may be available to U.S.-based employees, depending on the role
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
