S&OP Planning & Optimization Analyst

Job Description

The Role:

GM is embarking on a process and systems transformation spanning our end to end scheduling ecosystem.  The overall intent of this transformation is to leverage modern technical capabilities in simulation, scenario planning, machine learning and AI to improve decision making agility and operational stability, delivering peak value to the company, its’ customers and its’ stakeholders.

We are seeking an S&OP Planning & Optimization Analyst to help shape the next generation of our enterprise Sales & Operations Planning (S&OP) process. This role sits at the intersection of planning, data, technology, and cross-functional decision-making, helping transition our organization from manual, fragmented planning processes to a system-driven, scenario-based planning environment.

You will partner with teams across Sales, Supply Chain, Manufacturing, and Finance to define planning logic, design and evaluate scenarios, ensure data alignment, and support the development of a new S&OP technology platform. This is a unique opportunity to influence how a Fortune 100 manufacturer plans demand and supply at scale—improving transparency, speed, customer satisfaction, schedule stability, and operational execution.

What You’ll Do:

• S&OP Process & Scenario Design
  • Support the shift toward a unified, system-led S&OP process that integrates demand, supply, and financial planning.
  • Partner with business owners to define assumptions, planning logic, constraints, metrics, and decision rules.
  • Translate S&OP inputs—forecast signals, capacity limits, configuration-level content, operational constraints—into structured scenario definitions.
  • Build and evaluate scenario models that test “what-if” business conditions, identify tradeoffs, and quantify impacts.

• Cross-Functional Alignment
  • Serve as a connector across Sales, Supply Chain, Manufacturing, Product, and Finance.
  • Facilitate working sessions to align on assumptions, scenario differences, and enterprise-optimized outcomes.
  • Maintain governance and structure of recurring S&OP planning cycles.

• Data, Tools & System Enablement
  • Contribute to the implementation of a new enterprise S&OP planning platform.
  • Translate business process needs into functional requirements for internal IT functions as well as external software vendors.
  • Assist with testing new system capabilities including scenario creation, variance reporting, forecasting comparisons, and automated recommendation logic.
  • Enable seamless data exchange with upstream and downstream systems.

• Analytics, Reporting & Insight
  • Develop analytics that measure scenario performance.
  • Use structured decision-making frameworks such as AHP.
  • Prepare clear, executive-ready summaries of scenario insights.
  • Build reporting via Excel, BI tools, or system outputs.

Your Skills & Abilities (Required Qualifications):

• 5+ years relevant experience in S&OP, Supply Chain, Scheduling, Manufacturing, or data science experience (any internship or co-op experience will not be considered)
• Strong strategic agility with ability to connect data and assumptions.
• High analytical ability and comfort with complex planning problems.
• Cross-functional communication and facilitation experience
• Self-starter with the ability to influence others in a direct and indirect organizational structure, and across multiple physical locations
• Experience with Microsoft or Google office applications
• Excellent oral and written communication skills
• Ability to manage multiple priorities
• Must be willing to travel 10% Domestically + Internationally

What Will Give You A Competitive Edge (Preferred Qualifications):

• Bachelors Degree
• Experience with APS systems (Kinaxis, o9, Blue Yonder, etc.).
• Understanding of scenario planning, constraint-based optimization, forecasting
• Background in automotive or complex-configurable products
• Experience in major tech implementations.
• Experience with both Microsoft and Google office applications
• Experience with BI tools, Tableau, SQL, Databricks and/or Python
• Knowledge of master scheduling, production sequencing, BOM, MRP, capacity planning.

Impact

• Help design and implement a next-generation S&OP platform.
• Improve enterprise decision-making.
• Reduce planning cycle time through automation.
• Improve schedule stability and execution.

Why Join Us

• You will join a team committed to enterprise transformation and modern planning practices, with visibility to leaders across the company.



GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.



About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

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Non-Discrimination and Equal Employment Opportunities (U.S.)

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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