S&OP Planning & Optimization Analyst

General Motors•Warren, MI

4d•Hybrid

About The Position

About 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.

Requirements

5+ years relevant experience in S&OP, Supply Chain, Scheduling or data science experience
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
Excellent oral and written communication skills
Strong Excel and PowerPoint capability.
Ability to manage multiple priorities.

Nice To Haves

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 BI tools, Tableau, SQL, Databricks and/or Python
Knowledge of master scheduling, production sequencing, BOM, MRP, capacity planning.

Responsibilities

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.
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.
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.
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.