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. The role is a strategic owner responsible for managing advanced technical teams, evaluating commercial objectives, supporting strategic decisions through rigorous analysis and modeling, delivering analytics outcomes, and driving automation. It sits at the intersection of commercial strategy, advanced analytics, and operational execution, and works closely with Product, Operations, Data Science, and Leadership to improve network efficiency, service, and profitability.

The Senior Manager will lead advanced professional-level engineers and collaborate with data scientists to translate interconnected business dynamics into scalable, automated solutions. The role covers freight routing optimization, capacity utilization, cost structures, network design, commercial decision support, and continuous improvement across Uber Freight’s 3PL and 4PL businesses. It also includes responsibility for team priorities, resource allocation, costs, staffing, project delivery, analytics governance, and executive communication.

The position is hybrid and full-time. U.S. employees working more than 30 hours per week are eligible for benefits including company-sponsored health coverage, dental and vision benefits, a 401(k) match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, and life insurance. U.S.-based employees may also be eligible for performance or sales incentive bonuses, Uber Freight 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 using Tableau, Power BI, or similar tools.
• 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 developing optimization, simulation, and predictive models.
• Strong organizational and prioritization skills in ambiguous, fast-paced environments.
• High-impact 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 visualization that makes 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 ecosystem.
• Practical experience applying agentic frameworks, such as tool-calling or semantic layers, to automate 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 constructive feedback and individualized growth opportunities; guide the team through uncertainty and operational shifts.
• Promote an authentic, positive, diverse, and inclusive team culture.
• Define roadmaps for analytics projects addressing freight routing optimization, capacity utilization, and cost structures across complex transportation networks.
• 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 that 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, helping ensure decision models are adopted in frontline workflows and software systems.
• Connect technical solutions to margin improvement and account retention through analysis of business interdependencies.
• Establish team prioritization and resource-allocation frameworks, balancing commercial escalations with long-term modeling roadmaps while managing costs, headcount, and delivery commitments.
• Translate 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 are transparent, auditable, and resilient to personnel changes.
• Implement 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, advanced Excel formulas, and GCP tools.
• 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 formulating optimization, simulation, and predictive models for network design and operations.
• Communicate and negotiate cross-functional priorities, coach technical talent, and present clear, actionable analytics to executives and stakeholders.

Benefits

• Company-sponsored health plan for eligible U.S. employees working more than 30 hours per week.
• Dental benefits for eligible U.S. employees working more than 30 hours per week.
• 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.
• Potential eligibility for performance or sales incentive bonuses, Uber Freight equity awards, and other role-dependent compensation.

What This Job Offers

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