Manager, Demand Forecasting & Strategic Planning

About Samsung Electronics America, Inc.

Headquartered in Englewood Cliffs, N.J., Samsung Electronics America, Inc. (SEA) is a leader in mobile technologies, consumer electronics, home appliances and enterprise solutions. From our humble beginnings to our position today as a tech leader, our passion for innovation has been the common thread throughout our history. We’ve grown into one of THE most recognized global brands. We consider ourselves “relentless pioneers” that push boundaries and defy barriers. The company pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays. As EPA’s ENERGY STAR® Corporate Commitment Partner, SEA is dedicated to making a positive impact on the environment through its eco-conscious products, practices, and operations.

Job Summary

As a Manager in Demand Forecasting & Strategic Planning, you will be responsible for developing data-driven demand and sell-out forecasts, collaborating with various teams to optimize sales targets, and utilizing advanced analytical techniques to improve forecasting accuracy.

Key Responsibilities

• Develop data-driven demand and sell-out forecasts using historical sales data, market trends, and promotional impact analyses.
• Work closely with marketing and sales teams to incorporate upcoming promotional campaigns into demand planning models.
• Ensure forecasts support strategic sales targets by identifying potential demand fluctuations and adjusting supply plans accordingly.
• Monitor and evaluate competitive trends to adjust forecasting models, ensuring the company maintains and grows its market position.
• Collaborate with supply chain and operations teams to maintain optimal inventory levels and avoid stockouts or excess inventory.
• Partner with product, marketing, finance, and sales teams to align demand forecasts with business objectives and market dynamics.
• Generate reports detailing forecast accuracy, sales performance comparing target, and promotional impact; continuously refine forecasting methods.
• Utilize forecasting software and AI-driven tools to improve prediction accuracy and efficiency.
• Apply statistical models and algorithms to identify patterns and correlations within the sales data.
• Leverage diverse datasets including sales trends, Total Addressable Market (TAM), Market Share (MS), and promotion plans to create a comprehensive view of market dynamics.