Senior Manager, Logistics Analytics & Optimization

Senior Manager, Logistics Analytics & Optimization

Uber Freight is seeking a Senior Manager, Logistics Analytics & Optimization to lead the design, analytics, and optimization of complex freight networks at scale. This role operates as a strategic owner, managing advanced technical teams to evaluate and achieve commercial business objectives, supporting strategic decisions through rigorous analysis, modeling, and collaboration. Sitting at the intersection of commercial strategy, advanced analytics, and operational execution, you will be responsible for achieving overarching results, delivering analytics outcomes, and driving automation. You will lead a team of advanced professional-level engineers and collaborate with data scientists, translating interconnected business dynamics into scalable, automated solutions. This role partners closely with Product, Operations, Data Science, and Leadership to improve efficiency, service, and profitability across Uber Freight's network.

What You Will Do:

• Manage a team of advanced technical professionals.
• Set clear expectations, establish KPIs, and effectively delegate to maximize team productivity and ensure goals are met.
• Coach and develop the team by providing regular, constructive feedback and proactively identifying key experiences that support individualized professional growth.
• Model resilience and adaptability, explaining the "big picture" to coach team members through uncertainty and fast-paced operational shifts.
• Build trust by promoting an authentic, positive team culture that values diversity, inclusivity, and unique perspectives.

• Evaluate commercial objectives and leadership asks to design and define the roadmap for analytics projects related to freight routing optimization, capacity utilization, and cost structures across complex transportation networks.
• Integrate data from various sources and disciplines to drive insights and decisions regarding cost, capacity, operational constraints, and service-level trade-offs while applying optimization techniques.
• Direct the design of automated analytics frameworks and suggest/implement new procedures that scale across the organization.
• Identify network inefficiencies and design solutions that improve margin, service reliability, and scalability.
• Support initiatives related to continuous moves, dedicated fleets, loop-based networks, and specialized routing strategies.

• Partner with commercial leadership to deliver scenario analysis and data-backed recommendations aligned with industry best practices, owning the analytical decision-support agenda across both 3PL and 4PL businesses.
• Promote collaboration and idea-sharing across different departments (Product, Sales, Operations) to drive continuous improvement and better outcomes. Drive connected thinking across Analytics teams, breaking down silos to ensure decision models are adopted into frontline workflows and software systems.
• Apply a deep understanding of business interconnectedness when analyzing issues, ensuring technical solutions directly translate to margin improvement and account retention.
• Establish team-wide prioritization and resource allocation frameworks, balancing ad-hoc commercial escalations against long-term network modeling roadmaps while managing team costs, headcounts, and project delivery commitments.

• Synthesize complex freight economics, optimization outputs, and econometric analyses into structured executive narratives that guide C-suite decisions, align cross-functional leaders, and resolve stakeholder friction.

• Establish governance frameworks and institutional documentation standards across the analytics team, ensuring all network models, data pipelines, and analytical tools remain transparent, auditable, and resilient to personnel changes.
• Suggest and implement new procedures, analytical toolsets, and optimization methodologies across the organization, institutionalizing a culture of continuous learning.
• Define adoption KPIs and operational feedback loops across commercial and operational teams, directing the iterative refinement of decision products to maximize end-user adoption and measurable bottom-line value.

• Conduct deep dive analyses using SQL, Python, Excel (advanced formulas), and GCP tools to support engineering and business decisions.
• Build and maintain repeatable analytical frameworks for ongoing 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.

• Deep commercial acumen across freight market cycles, contract versus spot dynamics, carrier procurement, logistics network sensitivities, and margin elasticity, applying this domain expertise to guide high-stakes business decisions and complex operational trade-offs.
• Systems architect capable of structuring ambiguous network design problems, directing 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.
• High-impact communication and executive presence, adept at negotiating cross-functional priorities, coaching technical talent, and aligning divergent commercial and engineering perspectives.
• Sets the standard for executive reporting and visualization, ensuring analytics products present clear decision paths and make analytical outputs intuitive and actionable.

Basic Qualifications

• 8+ years of experience in logistics, transportation, freight brokerage, or supply chain network design.
• 3+ years of experience directly managing advanced analytical or engineering teams.
• Advanced proficiency in SQL and Excel (complex formulas, 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.
• 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 with optimization methodologies related to routing, capacity planning, and service-level trade-offs.
• Experience/familiarity with guiding data science or analytics teams in deploying AI-powered decision support tools, conversational analytics, or automated diagnostic workflows.

Preferred Qualifications

• Experience with VBA or legacy analytical tools.
• Hands-on experience with Python for data analysis and modeling is a plus.
• Experience working within the Google Cloud Platform (GCP) ecosystem.
• Practical experience applying agentic frameworks (e.g., tool-calling, semantic layers) to automate routine commercial reporting and root-cause analysis over transportation datasets.

Benefits & Compensation for U.S. Employees

Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.

For Washington-based: The base salary range for this role is $131,250 - $178,000

About Uber Freight

Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real?time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at

Candidate Privacy Notice

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EEOC

Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.