Senior Manager, Logistics Analytics & Optimization

Uber Freight • Newport, KY

11d • Hybrid

About The Position

Uber Freight is seeking a Senior Manager 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, partnering with Product, Operations, Data Science, and Leadership to improve efficiency, service, and profitability across Uber Freight’s network.

The position manages and develops a team of advanced technical professionals, establishes expectations and KPIs, delegates work, coaches team members, and promotes an inclusive and adaptable team culture. It directs analytics projects and optimization roadmaps for freight routing, capacity utilization, and cost structures; integrates data to assess costs, capacity, operational constraints, and service-level trade-offs; and develops automated frameworks and scalable solutions to improve network performance.

The Senior Manager owns analytical decision support across 3PL and 4PL businesses, working with commercial leaders and cross-functional partners to produce scenario analyses and recommendations. The role sets prioritization and resource-allocation frameworks, manages team costs, headcount, and delivery commitments, and translates complex freight economics and analytical outputs into executive narratives. It also establishes documentation and governance standards, defines adoption KPIs and feedback loops, and supports continuous refinement of analytics products.

The role conducts analyses and builds repeatable frameworks using SQL, Python, Excel, and GCP tools; works with large datasets, databases, and ETL pipelines; and develops dashboards, KPIs, and operational reports using Tableau, Power BI, or similar tools.

Requirements

• 8+ years of experience in logistics, transportation, freight brokerage, or supply chain network design.
• 3+ years of direct management experience with 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 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.
• Excellent organizational and prioritization skills in ambiguous, fast-paced environments.
• Strong communication and executive presence, including the ability to negotiate cross-functional priorities, coach technical talent, and align commercial and engineering perspectives.
• Ability to produce clear, intuitive, and actionable executive reporting and visualizations.

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 (GCP) ecosystem.
• Practical experience applying agentic frameworks, such as tool-calling and semantic layers, to automate routine commercial reporting and root-cause analysis over transportation datasets.

Responsibilities

• Manage a team of advanced technical professionals; set expectations and KPIs, delegate effectively, and maximize team productivity.
• Coach and develop team members through regular constructive feedback and individualized growth opportunities.
• Promote resilience, adaptability, trust, diversity, inclusivity, and a positive team culture.
• 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 assess costs, capacity, operational constraints, and service-level trade-offs using optimization techniques.
• Direct the design of automated analytics frameworks and implement scalable procedures across the organization.
• Identify network inefficiencies and design solutions to 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 provide scenario analysis and data-backed recommendations across 3PL and 4PL businesses.
• Promote collaboration across Product, Sales, Operations, and other departments to drive continuous improvement.
• Ensure decision models are adopted in frontline workflows and software systems, connecting analytics teams and breaking down silos.
• Translate technical solutions into margin improvement and account retention outcomes.
• Establish team-wide prioritization and resource allocation frameworks, balancing commercial escalations with long-term modeling roadmaps while managing costs, headcount, and delivery commitments.
• Synthesize freight economics, optimization outputs, and econometric analyses into executive narratives that support C-suite decisions and cross-functional alignment.
• Establish governance frameworks and documentation standards to keep models, data pipelines, and analytical tools 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 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 tools.

Benefits

• Company-sponsored health plan for eligible U.S. employees working more than 30 hours per week.
• Dental benefits.
• Vision benefits.
• 401(k) match.
• Financial and mental wellness benefits.
• Parental leave.
• Short- and long-term disability coverage.
• Life insurance.
• Potential eligibility for a performance or sales incentive bonus program.
• Potential participation 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