Senior Manager, Logistics Analytics & Optimization

Uber Freight•New York, NY

7d•$131,250 - $178,000•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 business objectives, and supporting strategic decisions through rigorous analysis, modeling, and collaboration. It connects commercial strategy, advanced analytics, and operational execution, with accountability for results, analytics outcomes, and automation. The Senior Manager leads advanced professional-level engineers and collaborates with data scientists. In partnership with Product, Operations, Data Science, commercial leadership, and other leaders, the role translates interconnected business dynamics into scalable, automated solutions that improve network efficiency, service, and profitability across Uber Freight. The position oversees analytics roadmaps for freight routing optimization, capacity utilization, and cost structures across complex transportation networks. It directs automated analytics frameworks, network modeling and optimization, commercial decision support, governance and documentation practices, and continuous improvement. It also conducts deep-dive analysis and develops repeatable analytics, dashboards, KPIs, and operational reporting to inform engineering and business decisions.

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 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 developing optimization, simulation, and predictive models.
Excellent 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 develop clear, actionable executive reporting and visualization.

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, and maximize team productivity.
Coach and develop team members through regular constructive feedback, individualized growth opportunities, and support through uncertainty and operational change.
Promote an authentic, positive, diverse, and inclusive team culture.
Evaluate commercial objectives and leadership requests, and define roadmaps for analytics projects involving freight routing optimization, capacity utilization, and network cost structures.
Integrate data across sources and disciplines to inform decisions about 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, and ensure decision models are adopted into frontline workflows and software systems.
Translate business and technical analysis into solutions that improve margin and account retention.
Establish prioritization and resource allocation frameworks that balance commercial escalations with long-term network modeling roadmaps; manage team costs, headcounts, and delivery commitments.
Present freight economics, optimization outputs, and econometric analyses as 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 new procedures, analytical toolsets, and optimization methodologies, and foster continuous learning.
Define adoption KPIs and operational feedback loops, and direct iterative improvements to decision products to increase adoption and measurable business value.
Conduct deep-dive analyses using SQL, Python, Excel, 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.

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 for eligible U.S. employees working more than 30 hours per week.
Parental leave for eligible U.S. employees working more than 30 hours per week.
Short- and long-term disability coverage for eligible U.S. employees working more than 30 hours per week.
Life insurance for eligible U.S. employees working more than 30 hours per week.
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 upon the role.