Senior Manager, Logistics Analytics & Optimization

uberfreight; Frisco (TX); Hybrid; USD 160,000 - 230,000; Full time

Job summary

Uber Freight is hiring a Senior Manager, Logistics Analytics & Optimization to lead design, analytics, and optimization of complex freight networks at scale. You will manage advanced technical teams, drive analytics projects, and collaborate with Product, Operations, Data Science, and Leadership to improve efficiency, service, and profitability across Uber Freight’s network.

In this hybrid role, you will own strategic analytics initiatives, translate business needs into scalable solutions, and

Qualifications

• Leadership of advanced technical teams across analytics, engineering and data science.
• Strong ability to translate business needs into scalable analytic solutions.

Responsibilities

• Manage a team of advanced technical professionals.
• Set clear expectations, establish KPIs, and delegate to maximize productivity.
• Coach and develop the team with regular feedback and growth opportunities.
• Promote authentic, inclusive team culture.
• Design analytics roadmaps for freight routing optimization and cost structures.
• Integrate data from diverse sources to drive insights for cost and capacity decisions.
• Develop automated analytics frameworks and scalable procedures.
• Identify network inefficiencies and propose solutions to improve margin and service.
• Partner with commercial leadership for scenario analysis and decision support.
• Foster cross-functional collaboration to translate models into frontline workflows.
• Establish governance and documentation standards for analytics assets.
• Define adoption KPIs and feedback loops to maximize value.
• Perform deep-dive analyses using SQL, Python, Excel, and GCP.
• Create dashboards and KPIs using Tableau or Power BI.

Job description

Schedule: Full Time

Job Type: Hybrid

Salary Type: Salary

Req #: 3466

Role Overview

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:

People Management & Leadership

• 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.

Strategic Logistics Engineering & Network Optimization

• 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.

Commercial Decision Support & Stakeholder Collaboration

• 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.

Documentation & Continuous Improvement

• 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.

Data Analysis & Technical Development

• 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.

General Skills & Competencies

Deep commercial acumen across freight market cycles, contract versus spot dynamics,