Lead, Logistics Analytics & Network Optimization

Uber Freight; Frisco (TX); Hybrid; USD 150.000 - 190.000; Vollzeit

Zusammenfassung

Uber Freight seeks a Senior Manager, Logistics Analytics & Optimization to lead the design, analytics, and optimization of complex freight networks at scale. You will manage advanced technical teams, collaborate with Product, Operations, Data Science, and leadership to drive efficiency, service, and profitability.

You will oversee analytics roadmaps for routing optimization, capacity utilization, and cost structures, delivering data-backed recommendations and scalable, automated solutions.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

SQL

Excel

Data analysis

Leadership

Operations research

Tableau/Power BI

Tools

Tableau

Power BI

GCP

ETL

Jobbeschreibung

Uber Freight seeks a Senior Manager, Logistics Analytics & Optimization to lead the design, analytics, and optimization of complex freight networks at scale. You will manage advanced technical teams, collaborate with Product, Operations, Data Science, and leadership to drive efficiency, service, and profitability.

You will oversee analytics roadmaps for routing optimization, capacity utilization, and cost structures, delivering data-backed recommendations and scalable, automated solutions.