2 of 2 Remote Quality Management Jobs in Liverpool

Our client is a large organisation operating within the FMCG/Pharmaceutical sector. Located in Liverpool, it's well-known for its dedication to quality and continuous improvement in its state-of-the-art production facilities. Job Description The Validation Manager will: Oversee validation activities for all manufacturing processes … Develop and implement strategic validation policies and protocols Implement and maintain the validation master plan. Collaborate with the Quality and Operations teams to improve processes Support the Food Safety team, quality systems & technical investigations Support the analysis of monitoring data to identify trends and opportunities to improve operational … controls and guarantee optimum quality product. Liaise with internal departmental stakeholders to provide validation guidance and expertise Training and mentoring staff on validation methodologies Reporting on validation activities and results to senior management Liaise with external bodies and the wider company community to share and develop best practices More ❯

effective way of managing, visualising, and maintaining data from all areas of the business. You will also be managing queries and updates along with quality management and troubleshooting through the project and reporting lifecycle, whilst being supported by the Senior BI Developers in the team. The standard hours … of work are based on 37.5 hours per week, Monday-Friday. You will be responsible for: Data Collection & Management: Gather, clean, and maintain large datasets from multiple sources, ensuring data accuracy and integrity. Data Transformation: Create data processing scripts and workflows that transform raw data into usable formats. Reporting … Visualisation: Create clear and informative reports, dashboards, and visualisations to communicate findings to stakeholders and assist in decision-making. Data Quality Assurance: Ensure data is accurate, up-to-date, and free from errors by conducting regular audits and troubleshooting data-related issues. Collaboration: Work closely with cross-functional teams More ❯