Senior Manager, Logistics Analytics & Optimization

Uber Freight • San Francisco, CA

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. The role is a strategic owner of advanced technical teams, evaluating commercial objectives and supporting strategic decisions through rigorous analysis, modeling, and cross-functional collaboration. It sits at the intersection of commercial strategy, advanced analytics, and operational execution, with responsibility for analytics outcomes, automation, and overall results.

The Senior Manager leads advanced professional-level engineers and works with data scientists, Product, Operations, Data Science, commercial leadership, and other stakeholders. The role translates interconnected business dynamics into scalable, automated solutions that improve efficiency, service, and profitability across Uber Freight’s network.

The position oversees logistics engineering and network optimization, commercial decision support, analytics governance, continuous improvement, and technical development. It includes managing team priorities, staffing, costs, and project commitments; establishing standards and feedback loops; and communicating complex analyses and recommendations to executives. The role uses SQL, Python, Excel, GCP tools, and business intelligence platforms to analyze large operational datasets and build repeatable frameworks, dashboards, and reporting.

The position is full-time and hybrid. For California-based employees, the stated base salary range is $143,150–$196,000. U.S. employees working more than 30 hours may be eligible for the benefits described in the posting, and U.S.-based employees may also be eligible for incentive bonuses, equity awards, and other compensation depending on the role.

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 understanding of 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.
• Excellent organizational and prioritization skills in ambiguous, fast-paced environments.
• Strong communication and executive presence, including negotiating cross-functional priorities, coaching technical talent, and aligning commercial and engineering perspectives.
• Ability to produce clear, actionable executive reporting and visualizations.

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 productivity and goal achievement.
• Coach and develop team members through constructive feedback and individualized growth opportunities, and foster an inclusive, adaptable team culture.
• Evaluate commercial objectives and leadership requests to define roadmaps for analytics projects involving freight routing optimization, capacity utilization, and transportation network cost structures.
• Integrate data from different 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 provide scenario analysis and data-backed recommendations, owning analytical decision support across 3PL and 4PL businesses.
• Promote collaboration among Product, Sales, Operations, and other departments, and ensure decision models are adopted in frontline workflows and software systems.
• Analyze business issues with an understanding of interconnected commercial dynamics, translating technical solutions into margin improvement and account retention.
• Establish prioritization and resource-allocation frameworks that balance commercial escalations with long-term network modeling roadmaps, while managing team costs, headcount, and delivery commitments.
• Synthesize freight economics, optimization outputs, and econometric analyses into executive narratives that support C-suite decisions and cross-functional alignment.
• 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, 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 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 business intelligence tools.

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
• Possible performance or sales incentive bonus program for U.S.-based employees, depending on role
• Possible participation in Uber Freight equity awards for U.S.-based employees, depending on role
• 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