Senior Supply Chain Planning

5 days ago


Baldwin Park, California, United States Ihealth Labs Inc Full time $32,000 - $120,000 per year

Our Company:

Founded in 2010, iHealth is dedicated to empowering people to live healthier lives. The Founded in 2010, iHealth Labs is dedicated to empowering people to live healthier lives. The company is a leading provider of cloud-connected medical devices, personal health care devices, and home-based tests and is at the forefront of the digital health revolution.

In November 2021, iHealth's COVID-19 Antigen Rapid Test received Emergency Use Authorization from the U.S. Food and Drug Administration for over-the-counter sales. Since then, iHealth has become a key supplier of at-home COVID tests to the federal government, state governments, nonprofits, and individual consumers. 

iHealth Labs is a leader in digital health solutions, with a mission to revolutionize the healthcare industry by making quality health management accessible and affordable for all.

Key Responsibilities

Planning & Forecasting

  • Lead the Sales & Operations Planning (S&OP) process by coordinating with Sales, Marketing, Operations, and Finance teams to develop a unified, data-driven demand and supply plan.

  • Analyze historical data, market trends, and promotional inputs to generate accurate forecasts at the SKU, regional, and channel levels.

  • Utilize advanced planning systems (such as SAP IBP, Oracle Demantra, etc.) to improve forecasting accuracy, production scheduling, and end-to-end supply chain visibility.

  • Develop and maintain key performance indicators (KPIs) and dashboards to monitor planning effectiveness, identify variances, and support continuous improvement initiatives.Lead the Sales & Operations Planning (S&OP) process by coordinating with Sales, Marketing, Operations, and Finance teams to develop a unified and data-driven demand plan.

Execution & Cross-functional Collaboration

  • Manage end-to-end supply planning activities to ensure optimal alignment between production, inventory, cost, and customer service targets.

  • Collaborate with sourcing and procurement teams to align supplier capacity, lead times, and material availability with supply plans.

  • Monitor and optimize inventory levels across global warehouses and distribution centers, minimizing excess and obsolescence while maintaining high service levels.

  • Support cross-functional projects including new product launches, supply chain transformation initiatives, and planning system enhancements.

Analytics & Optimization

  • Leverage advanced data analytics and optimization techniques to enhance supply chain planning intelligence and decision-making.

  • Implement machine learning–based forecasting models to improve demand accuracy and responsiveness to market fluctuations.

  • Develop decision-support tools to balance cost, lead time, and service level trade-offs for improved planning outcomes.

  • Drive data visualization and diagnostic analytics projects to uncover root causes, identify trends, and support long-term strategic planning.

Qualifications

Required:

  • Ability to collaborate effectively with teams in China and work during China Standard Time (CST) hours.

  • Mandarin proficiency preferred for cross-regional communication.

  • Master's degree or above in Supply Chain Management, Industrial Engineering, Business Analytics, or related field.

  • Minimum 3 years of experience in planning, demand forecasting, or inventory management.

  • Practical experience with ERP and planning systems (SAP, Oracle, NetSuite, etc.).

  • Strong analytical and Excel skills; proficiency with Power BI, Tableau, or SQL preferred.
    Excellent communication, collaboration, and problem-solving skills with a continuous improvement mindset.

Preferred:

  • APICS/ASCM certification (CPIM, CSCP) is a plus.

  • Experience in consumer electronics, medical devices, healthcare or other fast-moving product environments.

  • Understanding of global supply chain dynamics, including tariffs, logistics variability, and lead time management.

  • Experience applying AI/ML and optimization techniques to real-world supply chain planning and decision processes.



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