Production Scheduling Assistant

About the role

As the Scheduling Assistant, you will work directly with our talented Scheduling team to audit, prioritize, monitor product status and communicate updates between the Production and Sales & Client Support teams. You will support production teammates ensuring they have the tools & information needed to execute what is scheduled on any given day, take ownership of key scheduling activities that positively impact productivity & profitability, help improve existing processes and brainstorm new ideas to improve efficiency between teams. This role reports to the Production Planning Manager and is located on-site in Aromas, CA.

Responsibilities

• Managing and re-prioritizing SCS priorities for the scheduler.
• Providing status updates to Sales and Client Support team.
• Managing production priorities in Asana and maintaining a constant communication channel between the production leads and scheduler.
• Inventory management: Monitor inventory levels of finished products, and supporting materials and ensure proper levels are maintained to avoid shortages or overstocking.
• KPI Scorecard Reporting: Develop or maintain existing scorecards for the production management.
• Cross-Fuctional Collaboration: Collaborate with other departments, such as procurement, logistics, to ensure a seamless flow of materials and information.
• Technology Utilization: Utilize production planning software (Salesforce), project management (Asana), and communication applications (Slack).
• Asana Task Creation: Create dedicated tasks for each late order in Asana, specifying the order details, required actions and deadlines.
• Task Tracking: Regularly monitor the status of Asana tasks, and update task progress as actions are taken and milestones are achieved.
• Communication: Maintain open communication either directly on the plant floor or via channels with stakeholders to address any questions, concerns, or obstacles hindering task completion.
• Escalation Protocol: Establish an escalation protocol for particularly critical late orders, ensuring that senior management is informed and involved as necessary.
• Data Analysis and Sorting: Utilize Excel along with company approved AI platforms to import and analyze order data, including order due dates, customer priorities,