Planning Optimization Leader

Shaw Industries; Dalton (GA); On-site; USD 95,000 - 140,000; Full time

Job summary

Shaw Industries Group, Inc. in Dalton, GA, seeks a Planning Optimization Leader to drive end-to-end planning across fibers, yarn, extrusion, finished goods, and surface solutions.

The role merges OMP Master Planning, Inventory Optimization, and Analytics to deliver world-class service and optimized costs. As a cross-functional integrator, you will connect Planning, Sourcing, Logistics, Manufacturing, Data & Analytics, Customer Care, and Planning Technology to improve alignment and

Qualifications

• 5-10 years of experience in Supply Chain, Planning, Manufacturing roles with Data/Analytics related experience.
• Experience with planning tools such as OMP, HSRP or similar.
• Proven ability to use analytics to drive decision-making and improve performance.
• Proficiency with AI tools and data analytics applications to drive automation and insights.

Responsibilities

• Integrated supply and inventory planning to balance service levels with constraints.
• Optimize planning analytics and develop dashboards, KPIs, and reports.
• Collaborate across Planning, Sourcing, Logistics, Manufacturing, Data & Analytics to align plans.

Skills

Supply chain experience

Data analytics

Cross-functional collaboration

Forecasting

Education

Bachelor’s degree in Supply Chain, Engineering, Business, Analytics, or related field

Tools

OMP

HSRP

SQL

AI analytics tools

Job description

Shaw Industries Group, Inc. is a leader in flooring and other surface solutions designed for residential housing, commercial spaces and outdoor environments. Leveraging strengths in design, innovation and operational excellence, the company takes a people-centered, customer-focused, and growth-minded approach to meet diverse market needs. It creates differentiated customer experiences through its expansive portfolio of brands: Anderson Tuftex, COREtec, Shaw Floors, Patcraft, Philadelphia Commercial, Shaw Contract, Shaw Sports Turf, Shawgrass, Southwest Greens, Watershed Geo and more. Headquartered in Dalton, Georgia, Shaw is a wholly owned subsidiary of Berkshire Hathaway, Inc. with more than $6 billion in annual sales and 18,000 associates worldwide.

Job Description

The Planning Optimization Leader is responsible for enabling end‑to‑end planning excellence across fibers, yarn, extrusion, finished goods, and hard/soft surface supply chains. This role merges OMP Master Planning, Inventory Optimization, and Analytics, ensuring that supply plans, capacity models, data systems, and inventory strategies work together to deliver world‑class service, optimized cost, and improved planning precision.

The Analyst serves as a cross-functional integrator—connecting Planning, Sourcing, Logistics, Manufacturing, Data & Analytics, Customer Care, and Planning Technology teams to drive improved alignment, visibility, and decision‑making across the enterprise.

This role is ideal for an analytically strong planning professional who thrives in complex environments and enjoys solving problems that span multiple value streams.

Responsibilities:

Integrated Supply & Inventory Planning

• Optimization of the OMP advanced planning tool for Fibers and carpet’s long‑range, integrated supply plans
• Ensure processes are maintaining a time‑phased inventory and capacity plans to balance customer service expectations (OTIF, fill rate) with operational constraints.
• Evaluate supply, capacity, and inventory scenarios to ensure systems are clearly identifying and predicting bottlenecks and propose corrective actions.

Optimization & Analytics

• Serve as the subject matter expert for Integrated Planning analytics, providing insights that improve forecast accuracy, inventory health, and supply plan execution.
• Partner with data analysts and IT Planning teams to develop dashboards, KPIs, and automated reports to support daily and strategic planning activities.
• Mine, prepare, and analyze structured and unstructured datasets to influence business decisions that impact manufacturing and inventory costs
• Partner with data analysts to build complex SQL or analytical models to enhance visibility into production, run strategies, constraints, and inventory trends.

Cross-Functional Integration

• Partner with Fiber/Yarn Manufacturing, Hard Surface Planning, Customer Care, Sales, Sourcing, and Logistics to align production, inventory, and demand plans.
• Serve as a connector between operational planning and enterprise strategic planning (IBP/S&OP).
• Facilitate decision‑making by translating complex data into simple, actionable insights for stakeholders.

Process Improvement & Standard Work

• Identify process gaps across extrusion, twisting/heatset, carpet manufacturing, and planning systems; develop and implement solutions.
• Lead or support parameter governance for OMP (e.g., lead times, MOQ logic, min/max, safety stock, yarn conversion assumptions).

Operational Support

• Demonstrated experience leading projects and managing organizational change, ensuring timely delivery, stakeholder alignment, and successful adoption of new processes or systems.
• Monitor fiber, yarn, and finished goods inventories—including kanban logic—and drive continuous improvements in target levels and replenishment processes.
• Provide daily visibility tools to support production scheduling, network health, service performance, and bottleneck identification.

Qualifications:

Required

• Bachelor’s degree in Supply Chain, Engineering, Business, Analytics, or related field.
• 5-10 years of experience in Supply Chain, Planning, Manufacturing roles with Data/Analytics related experience.
• Experience with OMP, HSRP, or similar planning tools.
• Proven experience using analytics to solve business problems and support decision‑making.
• Proficiency with AI tools and data analytics applications to drive insights, automation, and business decision‑making.

Preferred

• Experience in fiber/yarn, extrusion, or carpet planning.
• APICS/ASCM (CPIM/CSCP) certification.
• Experience in time‑series forecasting or advanced statistical modeling
• Experience integrating AI capabilities and advanced analytics into business workflows to enhance forecasting accuracy, decision quality, and operational efficiency.

Success in this Role:

The ideal candidate is:

• Self‑motivated and comfortable navigating ambiguity.
• Energized by cross‑functional collaboration.
• Comfortable with detail, data, and complexity.
• Passionate about improving systems, solving problems, and driving better planning outcomes.

Full-time on‑site Dalton, GA, with hybrid options.