Manager, Analytics

HAVIis a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI partners with companies to address challenges big and small across the supply chain, from commodity to customer. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries. For more information, please visitHAVI.com.
As a Manager, Planning Analytics you will lead the evolution and continuous improvement of our supply chain planning products, systems, and analytical capabilities. This role is focused on enhancing planning performance through the application of advanced analytics, AI, automation, and improved planning logic across our supply chain ecosystem.
You will lead a team of analytics professionals responsible for designing, developing, and scaling improvements to planning solutions including inventory optimization, demand planning, replenishment logic, reporting, and decision-support capabilities. This role sits at the intersection of planning execution, analytics, product, and systems, and requires strongsystemsthinking combined with hands-on analytical and leadership capability.
This roleprovidesthe opportunity to directly influence how planning systems and analytical solutions evolve to better support supply chain decision making. The individual will build trusted partnerships across Product, Process, Technology, and Planning Execution teams to ensure solutions are practical, scalable, adopted by end users, and aligned with broader business priorities.
The ideal candidate brings both technical depth and leadership maturity: someone who can coach and develop talent, set a clear roadmap for system and product improvements, and drive disciplined execution whileremainingcurrent on market trends and advancements in AI, automation, and planning technology.
This is a hybrid role based at 345 N Morgan St, Chicago, IL 60607. Candidates must reside in the Chicago metropolitan area. Relocation assistance is not offered at this time.
Requirnments:Bachelor’s degree in Operations Research, Supply Chain, Engineering, Data Science, Statistics, Information Systems, or a related field; advanced degree preferred5+ years of experience in supply chain analytics, planning operations, business intelligence, or a related quantitative disciplineDemonstrated experience leading or mentoring analytic resources, coordinating work across multiple priorities, and driving adoption of analytical solutionsExperience:Strong domain knowledge in supply chain planning concepts including inventory optimization, safety stock, demand quality, replenishment, distribution, andlogisticsHands-on experience improving planning products, systems, or processes through analytics, automation, and enhanced business logicStrongproficiencyin Python and SQL for data analysis, scripting, automation, testing, and root cause analysisExperience with BI and reporting tools including Power BI and Tableau; ability to build,maintain, and publish dashboards and operational reportingFamiliarity with planning or ERP systems such as MAESTRO, SCI Cockpit, APEX, or similar platformsExposure to AI / ML, GenAI, automation frameworks, optimization, simulation, or related advanced analytical methodsExperience working with Product and Technology teams to translate business needs into scalable planning and analytical solutionsExperienceoperatingin agile or sprint-based delivery environments (JIRA or equivalent backlog / work management tools)

Responsibilities:
Planning Product Evolution & Systems ImprovementLead the evolution and continuous improvement of planning analytics products and systems including inventory logic, safety stock, demand quality, replenishment, and related decision-support capabilitiesOwn and prioritize a roadmap of enhancements that improve planning performance, user experience, scalability, and sustainabilityIdentifygaps between current-state planning system behavior and desired outcomes; design and implement long-term solutionsAI, Automation & Advanced AnalyticsDrive the application of AI, automation, machine learning, and advanced analytics whereappropriate toimprove planning accuracy, efficiency, and responsivenessDevelop or oversee reusable automations, scripts, simulations, and analytical tools that reduce manual effort and improve decision qualityEvaluate emerging technologies and methods for inclusion in the planning analytics portfolioPlanning Execution Support & Root Cause AnalysisPartner closely with Planning Execution teams to diagnose planning issues, conduct root cause analysis, and implement sustainable resolutionsSupport time-sensitive escalations when needed while ensuring recurring issues are translated into systemic improvementsUse analytical insight to guide business rule changes, parameter adjustments, and product improvementsReporting, Decision Support & AdoptionOversee the