Production Data Specialist-Seasonal

The Production Data Specialist (PDS) is responsible for ensuring the absolute integrity and accuracy of finished goods production data. Serving as the primary point of contact for assigned plants, this role involves meticulous review, verification, and correction of shipping documentation for both Full Container Loads (FCL) and Less than Container Loads (LCL). By bridging the gap between plant-level operations and corporate logistics, the PDS ensures that internal systems reflect real-world inventory and shipments accurately and efficiently.

To be successful in this role, an individual must be a detail-oriented "point person" capable of resolving complex discrepancies between physical paperwork and internal systems like IMS and VMS. Success requires a proactive approach to communication, as the specialist must bridge the gap between plant-level operations and corporate logistics to maximize operational efficiency. Ultimately, the ideal candidate will maintain a high level of accountability for data cleanliness, ensuring that inventory and shipping records are verified, current, and audit-ready at all times.

Essential Functions/Qualifications

The responsibilities of the position include the following:

· Act as the point person for assigned plants as scheduled by Regional Logistics Coordinator.

· Stay current on plant shipping paperwork and corrections for both Full Container Load (FCL) and Less than Container Load (LCL) per corporate SOPs.

· Cross-check documents against the internal IMS system and verify all product information. Resolve all discrepancies found in paperwork and the IMS.

· Move verified shipments to the correct workflow in the VMS and scanned documents into the proper OneDrive folders.

· Send daily paperwork and Bill of Lading (BOL) correction emails to the plant and carrier companies as applicable.

· Work with QA and data checkers to ensure all samples and LCL are properly documented and recorded.

· Maintain knowledge of the Load Plan, including which products load together and the required container types.

· Monitor corporate shipping and plant data chats on Microsoft Teams to address general queries. Assist with the creation and maintenance of standardized shipping documents and BOL templates.

· Clear out the Shipment Builder and archive plant shipping paperwork and photos in OneDrive.

· Monitor inventory and van records in various workflows to eliminate false or empty records that impact auto-generated reports.

· Edit and correct label records for incorrect information such as tare, gross weight, or glazes.

· Create records as necessary for unique sales orders, such as sujiko or WASS.

· Assist the Logistics team as necessary, including covering for fellow PDS staff.

· Keep immediate supervisors fully informed concerning work progress, potential problems, and suggestions for improvements.

· Other duties as assigned by the Corporate Logistics Manager or Regional Logistics Coordinator.

To perform the job successfully, an individual should demonstrate the following functional and interpersonal competencies:

Functional

· Advanced Data Integrity: Mastery of multi-system data reconciliation (IMS/VMS) to ensure 100% accuracy in finished goods documentation.

· Logistics & Compliance: In-depth understanding of shipping documentation standards, including FCL/LCL requirements and Bill of Lading (BOL) compliance.

· Technical Record Management: Ability to audit and "clean" system workflows by identifying false records, empty van entries, and incorrect label data (tare, gross weight, etc.).

· Process Optimization: Skilled in developing and maintaining standardized shipping templates and SOPs to enhance seasonal operational readiness.

· Inventory Control: Proficiency in managing complex sales order records and ensuring all physical samples match digital inventory logs.

Interpersonal

· Strategic Coordination: Ability to synchronize operations between plant-level personnel and corporate stakeholders to maximize overall efficiency.

· Conflict & Error Resolution: Professionalism in identifying discrepancies and communicating necessary corrections to both internal teams and external carriers.

· Real-Time Collaborative Problem-Solving: Active engagement in digital communication platforms (Microsoft Teams) to monitor shipping chats and resolve queries instantly.

· Adaptive Team Support: Flexibility to manage personal plant assignments while providing essential coverage for peers and assisting the broader Logistics team.

· Proactive Upward Communication: Commitment to transparency by keeping leadership informed of potential work problems and suggesting improved methodologies.

Education and Experience

· Previous experience in a data-intensive logistics or production role, specifically handling shipping documentation and inventory management.

· High proficiency in Microsoft Office 365, particularly OneDrive for archiving and Teams for corporate communication.

· Knowledge of seafood production terminology (e.g., glazes, sujiko, WASS) and load planning is preferred.

Work Environment and Schedule

Some in-person training be required but will be primarily remote. The work schedule is highly dependent on processing but requires long hours & constant availability during the processing season. Actual work hours will be determined by the Regional Logistics Coordinator.

Physical Demands

While performing the duties of this Job, the employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand, walk; reach with hands and arms and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 10 pounds.

Mental Activities

The employee is frequently required to use interpersonal and teamwork skills. The employee needs to be able to discern details on official paperwork and investigate discrepancies as required. The employee needs to regularly demonstrate attention to detail. The employee is occasionally required to use creativity, independent judgment, discretion, and problem analysis.