Senior Manager, Logistics Analytics & Optimization

Uber Freight • Newport, KY

11d • 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. This strategic role manages advanced technical teams and supports commercial objectives and strategic decisions through rigorous analysis, modeling, collaboration, and automation. The position sits at the intersection of commercial strategy, advanced analytics, and operational execution, and is responsible for achieving results and delivering analytics outcomes. The Senior Manager leads advanced professional-level engineers and collaborates with data scientists, translating interconnected business dynamics into scalable, automated solutions. The role partners closely with Product, Operations, Data Science, and Leadership to improve efficiency, service, and profitability across Uber Freight’s network.

The role covers people management, strategic logistics engineering and network optimization, commercial decision support, stakeholder collaboration, documentation, continuous improvement, data analysis, and technical development. It includes owning the analytical decision-support agenda across 3PL and 4PL businesses, aligning analytics and operational teams, and translating complex freight economics and optimization outputs into executive recommendations. The manager also establishes governance and documentation standards, adoption measures, and processes that support auditable, resilient models and tools.

The position uses SQL, Python, Excel, GCP tools, large-scale datasets, databases, ETL pipelines, and BI tools such as Tableau or Power BI. The role is listed as full time and hybrid. Compensation is salary-based; no salary range is provided.

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 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.
• Strong 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 structure ambiguous network design problems and direct teams in developing optimization, simulation, and predictive models.

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 coach team members’ professional growth.
• Build a positive, inclusive team culture and guide team members through uncertainty and operational change.
• Evaluate commercial objectives and leadership requests to define analytics project roadmaps for 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 scalable procedures.
• 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; ensure decision models are adopted in frontline workflows and software systems.
• Translate business interconnectedness and technical analysis into margin improvement and account retention outcomes.
• Establish team prioritization and resource-allocation frameworks, balancing commercial escalations with longer-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 stakeholders.
• 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 that support continuous learning.
• Define adoption KPIs and operational feedback loops, and direct iterative refinement of decision products to improve adoption and measurable business value.
• Conduct in-depth 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.
• Direct teams in structuring network design problems and formulating optimization, simulation, and predictive models.
• Communicate analytical outputs clearly and make them intuitive and actionable for executive and cross-functional audiences.

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.
• Parental leave.
• Short- and long-term disability coverage.
• Life insurance.
• Eligible U.S.-based employees may receive performance or sales incentive bonuses.
• Eligible employees may participate in Uber Freight equity awards.
• Other compensation may be available depending on the role.

What This Job Offers

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