Manager - Network Optimization & Planning

Manager - Network Optimization & Planning Irvine, CA Job Details Full-time $116,000 - $197,200 a year 5 hours ago Benefits Disability insurance Health insurance Paid time off Parental leave 401(k) matching Life insurance Qualifications Performance dashboard reports Operational cost reduction Data model design BlueYonder (JDA) Statistics Dashboard development Operations research Master's degree in business administration Stakeholder engagement Power BI Data visualization software proficiency Data Integration (Data management) Machine learning/AI-based analysis Bachelor's degree in industrial engineering SQL databases Automation Data modeling projects R Data reporting Tableau Data governance 8 years

SQL APICS

Certification Analysis skills Bachelor's degree Industrial Engineering Decision making Statistical modeling Performance Improvement (PI) Simulation systems Root cause analysis Senior level AI Cross-functional collaboration Master of Business Administration Cross-functional team management Data-driven decision making Supply Chain Management Technical Proficiency Data manipulation Python Cross-functional communication Supply chain collaboration Bachelor's degree in supply chain management Bachelor's degree in data science Data Science Supply chain process improvement Excel data analysis Supply chain planning Stakeholder management Full Job Description Accelerate your career. Join the organization that's driving the world's technology and shape the future. Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com Come join our team where you'll make technology happen in surprising ways. Let's shape tomorrow - it'll be a fun journey! We are seeking a highly analytical and results-driven Manager of Network Optimization & Planning (S&OP CoE) to lead end-to-end supply chain planning, including network design, demand and supply alignment, and continuous optimization of global supply chain and logistics operations. This role is central to driving planning excellence through a data-driven approach, leveraging analytical modeling and scalable processes to enhance efficiency and performance across the network. Operating within the global Center of Excellence (COE), this position collaborates cross-functionally with supply chain, operations, product management, finance, IT, and external logistics partners. The role is responsible for delivering actionable insights, improving decision-making, and enabling sustainable, scalable growth across the organization. This role will start out as an individual contributor but is expected to manage a team of analysts/senior analysts within 1 year of start date.

Your role:

Network Analytics & Modeling Develop and apply advanced analytics, optimization models, and simulation tools to improve network design, inventory positioning, and distribution strategies Build and maintain network optimization models (e.g., Llamasoft, JDA, Gurobi, CPLEX) to evaluate scenarios and support strategic decisions Perform sensitivity analysis, and what-if modeling to assess trade-offs across cost, service, and capacity Analyze large datasets to identify trends, inefficiencies, and improvement opportunities across the supply chain Translate complex analytical outputs into clear, actionable recommendations for business stakeholders S&OP Lead / Support the development, implementation, and continuous improvement of globally harmonized S&OP process to ensure alignment of demand, supply, and financial plans Develop and maintain S&OP playbooks, analytical frameworks, and standardized models to enable consistent, data-driven decision-making Support implementation and enhancement of planning systems, including Blue Yonder (BY) and related tools Design and deploy scenario planning, decision-support models to improve planning accuracy and responsiveness Support data governance, data modeling, and integration across planning and execution systems Performance Analytics & Visualization Define, track, and analyze KPIs such as OTIF, cost-to-serve, forecast accuracy, inventory health, and network efficiency etc Develop interactive dashboards and visualization tools (Power BI, Tableau) to monitor performance and highlight optimization opportunities Conduct root cause analysis on service failures, demand/supply imbalances, and network inefficiencies Automate reporting and analytics workflows to improve speed and scalability of insights Network Optimization & 3PL Performance Analyze and optimize logistics network performance, including DC operations, transportation flows, and 3PL partner effectiveness Evaluate 3PL KPIs and operational performance, identifying opportunities for cost reduction and service improvement Support network design initiatives such as footprint optimization, capacity planning, and flow optimization Cross-Functional Collaboration Lead and influence cross-functional initiatives across supply chain, operations, finance, IT, and data teams to align planning and network strategies with business objectives Drive data-informed decision-making by translating complex analytics into clear insights, facilitating alignment, and resolving trade-offs across stakeholders Act as a key connector across business and technical teams to drive execution, adoption of tools/processes, and delivery of network optimization and planning outcomes Continuous Improvement & Transformation Support continuous improvement initiatives through analytical insights and process enhancements Lead/Assist with rollout and adoption of new tools, models, and playbooks Stay current on emerging technologies, including AI/ML applications in supply chain analytics and planning What you bring to the role: Bachelor's degree in supply chain, Operations Research, Industrial Engineering, Data Science, or related field 8 -10 years of experience in supply chain, with strong emphasis on Network optimization, logistics analytics, and/or supply chain modeling and S&OP, planning analytics, or COE-driven process improvement Demonstrated experience applying optimization, simulation, and statistical analysis to solve complex supply chain problems and drive measurable business outcomes (cost reduction, service improvement, inventory optimization) Hands-on experience with network modeling and optimization tools (e.g., Llamasoft, Blue Yonder, JDA, Gurobi, CPLEX), including building and interpreting models for decision-making Strong proficiency in data analysis and manipulation, including: Advanced Excel (modeling, scenario analysis) SQL or similar tools for large dataset handling Experience working with structured and unstructured data Experience with planning platforms such as Blue Yonder (BY), including system configuration, enhancement, or user enablement Experience with Power BI/Tableau for dashboarding and executive reporting Strong business acumen with ability to: Translate analytical outputs into actionable business insights and recommendations Evaluate trade-offs across cost, service, and operational constraints Influence cross-functional stakeholders and support decision-making Experience developing or supporting analytical frameworks, process design, and playbooks/SOPs to enable scalable and repeatable planning processes Proven ability to manage cross-functional projects, balancing technical analysis with execution and business alignment Preferred Master's degree or MBA Experience in B2B, high-tech, or distribution environments Exposure to statistical modeling, or machine learning Experience with end-to-end planning systems integration (S&OP, ERP, execution systems)

APICS / IBF / CSCMP

certifications a strong plus Experience with Python/R or automation tools for analytics Key Competencies Advanced analytical and quantitative problem-solving skills Strong systems thinking and modeling capability Ability to translate complex data into clear business insights Effective communication and stakeholder influence Continuous improvement and innovation mindset Travel Up to 20-25% travel as needed #LI-LB2 The typical base pay range for this role across the U.S. is USD $116,000.00 - $197,200.00 per year. The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate's primary work location, pay grade, and variable compensation plan. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range. At Ingram Micro certain roles are eligible for additional rewards, including merit increases, annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. This is not a complete listing of the job duties. It's a representation of the things you will be doing, and you may not perform all these duties. Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check. Ingram Micro Inc. is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.