Senior Demand Planner │ Corporate (Springdale, AR)

Tyson Foods•Springdale, AR

5d•Onsite

About The Position

This position is responsible for creating future demand forecasts through market analysis, statistical modeling, and collaboration across the Planning organization. The role manages an assigned business’s rolling 27-month, item-level demand forecast using Manugistics and SAP IBP, and serves as a champion of the Demand S&OP process in cross-functional meetings. The position is based in Springdale, Arkansas, and works first shift. Travel involves 1–5 domestic trips per year.

Requirements

Strong computer skills; approximately 90% of work will use Manugistics Advanced Planning System (JDA) and SAP IBP.
Excellent analytical, written, and verbal communication skills.
Strong organizational skills and ability to multitask effectively in a dynamic, fast-paced environment.
Willingness and ability to perform the physical requirements of the job, with or without reasonable accommodation.
Demonstrate responsible use of approved AI tools, including safeguarding sensitive information, adhering to company policies, and validating AI-generated outputs.
For individual contributors, ability to integrate AI into daily work, improve efficiency through AI-enabled solutions, evaluate outputs critically, and use professional judgment.

Nice To Haves

Bachelor of Science or Bachelor of Arts degree preferred.
Five or more years of relevant experience preferred.
Familiarity with statistical algorithms such as Fourier and Multiple Linear Regression, and with statistical modeling principles, preferred.
Experience with a large national manufacturer or distributor in supply chain areas such as Demand, Inventory, Distribution, or Production strongly preferred.

Responsibilities

Manage the rolling 27-month, item-level demand forecast for an assigned business within Manugistics and SAP IBP.
Review and maintain statistical algorithms within Manugistics and SAP IBP, adjusting historical patterns and future projections as needed.
Maintain weekly item-level Forecast Accuracy results and support related fill-rate and distress metrics.
Collaborate with cross-functional partners to understand factors affecting the forecast, including merchandising, promotions, competitive activity, seasonality, retail consumption, customer behavior, pricing, and distribution.
Facilitate monthly Demand meetings with Sales, Marketing, Finance, and Supply Chain partners.
Perform daily analysis and reporting on demand performance, providing intelligence on business history, trends, and future assumptions.
Champion the Demand S&OP process in cross-functional meetings, influencing participants toward process adherence, adoption, and maturity.
Use approved AI tools responsibly, protect sensitive information, follow company policies, and critically validate AI-generated outputs.