<p><br></p><ul><li>Oversee and maintain the organization’s Quality Management System (QMS), ensuring compliance with all relevant industry standards and regulatory requirements.</li><li>Manage internal and external audits, including preparation, execution, and corrective follow‑up with customers, registrars, and regulatory agencies.</li><li>Drive standardization and continuous improvement of quality systems, procedures, and documentation across all departments.</li><li>Lead cross‑functional process improvement initiatives using Lean Six Sigma methodologies to reduce waste, increase efficiency, and improve product quality.</li><li>Direct root cause analysis and corrective/preventive action (CAPA) processes to address systemic quality issues.</li><li>Ensure organization‑wide training, deployment, and adherence to QMS requirements.</li><li>Support product launches, engineering changes, and manufacturing process modifications to ensure quality system compliance.</li><li>Maintain and enhance digital quality tools such as document control systems, audit tracking platforms, and corrective action workflows (experience with platforms like SharePoint or SAP is a plus).</li></ul><p><br></p>
We are looking for an experienced Supply Chain Manager to oversee demand planning, supply planning, and inventory management operations. This role is essential in ensuring seamless coordination between suppliers, production teams, and distribution centers to meet customer needs efficiently. Based in Memphis, Tennessee, this position offers an opportunity to lead strategic initiatives and optimize supply chain processes.<br><br>Responsibilities:<br>• Develop accurate demand forecasts in collaboration with business unit leaders to effectively anticipate customer requirements.<br>• Create and maintain rolling 12-month supplier forecasts aligned with warehouse production capacity.<br>• Manage supplier relationships and oversee material master data to ensure precise execution of supply chain processes.<br>• Coordinate purchase order execution, balancing customer demands with optimal inventory levels.<br>• Monitor supplier performance metrics, including past-due measurements and fill rates, while addressing bottlenecks proactively.<br>• Ensure timely product availability for new releases and evaluate freight options for cost-effective delivery.<br>• Establish stable delivery schedules with suppliers and traffic teams for distribution centers.<br>• Implement inventory analysis techniques to achieve budget targets and maintain optimal stock levels.<br>• Periodically review excess and obsolete inventories, collaborating with teams to develop actionable solutions.<br>• Track and improve supply chain performance metrics, reporting results to management and driving continuous improvement initiatives.
<p><strong>Data Pipeline Development</strong></p><ul><li>Design, build, and optimize scalable ETL/ELT pipelines to support analytics and operational workflows.</li><li>Ingest structured, semi-structured, and unstructured data from multiple internal and external sources.</li><li>Automate and orchestrate data workflows using tools like Airflow, Azure Data Factory, AWS Glue, or similar.</li></ul><p><strong>Data Architecture & Modeling</strong></p><ul><li>Develop and maintain data models, data marts, and data warehouses (relational, dimensional, and/or cloud-native).</li><li>Implement best practices for data partitioning, performance optimization, and storage management.</li><li>Work with BI developers, data scientists, and analysts to ensure datasets are structured to meet business needs.</li></ul><p><strong>Cloud Engineering & Storage</strong></p><ul><li>Build and maintain cloud data environments (Azure, AWS, GCP), including storage, compute, and security components.</li><li>Deploy and manage scalable data systems such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.</li><li>Optimize cloud data cost, performance, and governance.</li></ul><p><strong>Data Quality & Reliability</strong></p><ul><li>Implement data validation, error handling, and monitoring to ensure accuracy, completeness, and reliability.</li><li>Troubleshoot pipeline failures, performance issues, and data discrepancies.</li><li>Maintain documentation and data lineage for transparency and auditability.</li></ul><p><strong>Collaboration & Cross‑Functional Support</strong></p><ul><li>Partner with product, engineering, and analytics teams to translate business requirements into technical solutions.</li><li>Support self-service analytics initiatives by preparing high-quality datasets and data products.</li><li>Provide technical guidance on data best practices and engineering standards.</li></ul><p><br></p><p><br></p>
