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Production Planner

Lindt & Sprungli (North America) Inc.
United States, New Hampshire, Stratham
May 29, 2025
Who We Are

At Lindt, we are a global fast-growing consumer goods company, enchanting the world with premium chocolate. We are driven by our passion for excellence and go the extra mile ensuring that every Lindt experience is nothing short of exceptional. Our collective efforts are geared towards making a positive impact, not only in the world of premium chocolate but also in the lives of our employees, customers, and communities. Our company embraces a culture defined by the core values of Excellence, Innovation, Entrepreneurship, Responsibility, and Collaboration, fostering a dynamic and collaborative environment where these principles drive our success.

Position Purpose:

We are seeking a highly analytical and forward-thinking Production Planner to manage and optimize integrated production planning for both finished and semi-finished goods. This role requires a strong foundation in advanced analytics, forecasting, and model-driven decision-making to develop efficient weekly and daily production schedules. Success in this role will require the ability to leverage modern data tools (e.g., Python, LLMs, or other AI-based technologies**) and apply mathematical modeling, statistics, or operations research principles to enhance production planning, streamline scheduling, and support cross-functional collaboration.

This is a hybrid position requiring three days per week in our Stratham, NH corporate office.


Essential Job Functions & Responsibilities:

Production Planning



  • Develop and manage production schedules that align with company forecasts, capacity constraints, and inventory goals using data-driven methodologies.
  • Leverage analytics to optimize planning for perishable goods.
  • Coordinate the introduction of new products and integrate into production schedules for timely market launch.
  • Assist in long-range operational planning and scenario modeling to support manufacturing and logistics strategy.


Advanced Analytics & Reporting



  • Analyze large datasets related to production, inventory, and customer demand using Python, SQL, or similar tools.
  • Implement or enhance models using AI/LLMs to support predictive planning and real-time decision-making.
  • Generate and present actionable production planning metrics to leadership.
  • Identify inefficiencies and recommend automation or optimization opportunities.


Cross-Functional Collaboration



  • Serve as a key liaison between Planning, Manufacturing, Purchasing, and Sales to align production with business needs.
  • Support Distribution Planning in the effective deployment of finished and semi-finished goods.

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