Manager Network Optimization & Planning

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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:

• Bachelors 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

• Masters 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 2025% travel as needed

#LI-LB2

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 candidates 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. Its 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.