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Senior Inventory Planner Jobs in Boca Raton, FL (NOW HIRING)

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Senior Inventory Planner information

See Boca Raton, FL salary details

$47.4K

$85.1K

$118.1K

How much do senior inventory planner jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior inventory planner in Boca Raton, FL is $85,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,700.00 and $98,700.00 per year, depending on experience, location, and employer.

What are typical challenges a senior inventory planner faces, and how can I effectively address them?

Senior Inventory Planners often encounter challenges such as managing fluctuating demand, balancing inventory costs, and coordinating across various departments like purchasing, sales, and logistics. Successfully addressing these challenges requires a proactive approach to data analysis, staying up to date with market trends, and effective communication with stakeholders to forecast accurately. Leveraging technology and maintaining strong supplier relationships also help in mitigating risks and preventing stockouts or excess inventory. By continuously improving processes and collaborating with your team, you can optimize inventory performance and add significant value to your organization.

What are the key skills and qualifications needed to thrive as a senior inventory planner?

A Senior Inventory Planner requires strong analytical and forecasting skills, a background in supply chain management or a related field, and experience in inventory planning. Familiarity with ERP systems (such as SAP or Oracle), advanced Excel skills, and certifications like APICS CPIM are often expected. Attention to detail, effective communication, and the ability to collaborate cross-functionally help set top performers apart. These qualifications are critical for optimizing stock levels, supporting business objectives, and ensuring smooth operations.

What does a senior inventory planner do?

A Senior Inventory Planner is responsible for managing inventory levels, analyzing demand forecasts, and ensuring product availability while minimizing excess stock. They collaborate with supply chain, purchasing, and sales teams to optimize stock levels and improve efficiency. Their role involves using data analysis, inventory management systems, and strategic planning to meet business goals and customer demand. Additionally, they may develop inventory policies, identify trends, and implement process improvements to enhance supply chain performance.

What cities near Boca Raton, FL are hiring for Senior Inventory Planner jobs?

Cities near Boca Raton, FL with the most Senior Inventory Planner job openings:

Senior Inventory Planner jobs near you

Senior Data Scientist w/ Supply Chain Management and Optimization

1 point system

Deerfield Beach, FL • On-site

Contractor

Re-posted 29 days ago

Job description

  • Machine learning modeling especially in the Sales and Marketing areas of Supply Chain, Demand Forecasting, inventory/logistics optimization
  • Hands-on coding expertise in python, SQL, Jupyter Notebooks
  • Have productionalize ML solutions and not just built prototypes (MLOps).
  • experience working with business stakeholders, understanding requirements, prioritize use cases, communicate ROI and impact
  • experience working in early-stage / immature data environments and help shape data inputs for modeling
  • Azure platform experience (Fabric, Synapse)
  • Seeking a highly skilled Senior Data Scientist with a strong background in supply chain management and expertise in both developing and deploying machine learning models into production for end user consumption
  • 5+ years of experience as a data scientist, with a strong focus on supply chain management and problem-solving.
  • Design, implement, and optimize machine learning models utilizing the Microsoft technology stack (Azure AI Foundry, Azure ML, Azure SQL Managed Instance, Azure Synapse Analytics) to solve supply chain challenges, including demand forecasting, optimization, and logistics planning.
  • Work with architects to deploy machine learning models into production environments, ensuring scalability, performance, and integration with existing systems.