Principal Demand Planner

Marvell TechnologySanta Clara, CA
90d$120,150 - $180,000

About The Position

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. The Demand Planning team plays a critical role in driving accurate, data-informed forecasts that support operational efficiency, customer satisfaction, and revenue growth. This team (1) drives the Sales and Operations Planning (S&OP) process in partnership with Sales, Marketing, Finance, and Supply Chain, (2) collaborates closely with Business Units to capture market intelligence, customer trends, and new product introductions, and (3) influences executive-level decisions with data-driven insights and scenario planning.

Requirements

  • Bachelor’s degree in supply chain, data science, or related fields with 10-15 years of related professional Demand Planning and/or Supply Chain experience OR Master’s degree with 5-10 years of experience
  • Demonstrable experience in implementing ML (Machine Learning) models for forecasting, and integrating Market intelligence in the process
  • Proficiency in MS Office suite; high proficiency in MS Excel and Power BI

Nice To Haves

  • Semiconductor Industry experience
  • Experience in using LLM (Large Language Models) for forecasting
  • Experience in guiding and coaching teams
  • Excellent critical thinking and problem-solving skills
  • Excellent verbal and written communication skills

Responsibilities

  • Responsible for improving demand forecast accuracy using advanced forecasting techniques
  • Drive adoption and improvement of Statistical models using Machine Learning
  • Analyze Market trends, backlog, bookings, point-of-sales, and etc. against historical trends to identify anomalies
  • Create targeted forecasting techniques for various customer and product segmentation
  • Publish and monitor supply chain Key Performance Indicators (KPIs)
  • Ad-hoc projects that involving cross-functional teams from Finance, Sales and Product Marketing teams

Benefits

  • Flexible time off
  • 401k
  • Year-end shutdown
  • Floating holidays
  • Paid time off to volunteer
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