{"id":3414121,"url":"https://alion.io/job/uber-freight-senior-manager-logistics-analytics-optimization-6","title":"Senior Manager, Logistics Analytics & Optimization","company":{"id":94575,"name":"Uber Freight","domain":"uberfreight.com","url":"https://alion.io/company/uber-freight","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":82,"open_postings":17,"ghost_share":0,"stale_share":0.647,"repost_share":0.118,"time_to_fill_p50_days":35,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":131250,"max":178000,"currency":"USD","period":"year","gross":null,"usd_annual":178000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2026-10-28T18:31:47Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-29T15:38:43Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Schedule: Full Time\nJob Type: Hybrid\nSalary Type: Salary\nReq #: 3466\nRole Overview\nUber 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.\nWhat you will do:\nPeople Management & Leadership\nManage a team of advanced technical professionals.\nSet clear expectations, establish KPIs, and effectively delegate to maximize team productivity and ensure goals are met.\nCoach and develop the team by providing regular, constructive feedback and proactively identifying key experiences that support individualized professional growth.\nModel resilience and adaptability, explaining the \"big picture\" to coach team members through uncertainty and fast-paced operational shifts.\nBuild trust by promoting an authentic, positive team culture that values diversity, inclusivity, and unique perspectives.\nStrategic Logistics Engineering & Network Optimization\nEvaluate 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.\nIntegrate 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.\nDirect the design of automated analytics frameworks and suggest/implement new procedures that scale across the organization.\nIdentify network inefficiencies and design solutions that improve margin, service reliability, and scalability.\nSupport initiatives related to continuous moves, dedicated fleets, loop-based networks, and specialized routing strategies.\nCommercial Decision Support & Stakeholder Collaboration\nPartner 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.\nPromote 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.\nApply a deep understanding of business interconnectedness when analyzing issues, ensuring technical solutions directly translate to margin improvement and account retention.\nEstablish 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.\nSynthesize 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.\nDocumentation & Continuous Improvement\nEstablish 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.\nSuggest and implement new procedures, analytical toolsets, and optimization methodologies across the organization, institutionalizing a culture of continuous learning.\nDefine 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.\nData Analysis & Technical Development\nConduct deep dive analyses using SQL, Python, Excel (advanced formulas), and GCP tools to support engineering and business decisions.\nBuild and maintain repeatable analytical frameworks for ongoing network evaluation and performance monitoring.\nWork with large scale datasets, databases, and ETL pipelines in fast moving operational environments.\nDevelop dashboards, KPIs, and operational reporting using Tableau, Power BI, or similar BI tools.\nGeneral Skills & Competencies\nDeep 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.\nSystems 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.\nExcellent organizational and prioritization skills in ambiguous, fast-paced environments.\nHigh-impact communication and executive presence, adept at negotiating cross-functional priorities, coaching technical talent, and aligning divergent commercial and engineering perspectives.\nSets the standard for executive reporting and visualization, ensuring analytics products present clear decision paths and make analytical outputs intuitive and actionable.\nBasic Qualifications\n8+ years of experience in logistics, transportation, freight brokerage, or supply chain network design.\n3+ years of experience directly managing advanced analytical or engineering teams.\nAdvanced proficiency in SQL and Excel (complex formulas, scenario modeling).\nFamiliarity with databases, ETL workflows, and large-scale operational datasets.\nExperience building dashboards and operational metrics in Tableau, Power BI, or similar tools.\nProven track record of managing costs, overseeing staffing, and achieving upper-level strategic results.\nDeep expertise in operations research, network optimization, and commercial freight economics.\nExpertise with optimization methodologies related to routing, capacity planning, and service-level trade-offs.\nExperience/familiarity with guiding data science or analytics teams in deploying AI-powered decision support tools, conversational analytics, or automated diagnostic workflows.\nPreferred Qualifications\nExperience with VBA or legacy analytical tools.\nHands-on experience with Python for data analysis and modeling is a plus.\nExperience working within the Google Cloud Platform (GCP) ecosystem.\nPractical experience applying agentic frameworks (e.g., tool-calling, semantic layers) to automate routine commercial reporting and root-cause analysis over transportation datasets.\nBenefits & Compensation for U.S. Employees\nEmployees 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.\nFor New York-based: The base salary range for this role is $131,250 - $178,000\nAbout Uber Freight \nUber 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 www.uberfreight.com.\nCandidate Privacy Notice\nUber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.\nEEOC\nUber 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. 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