Technology Manager, Quality Systems, AI Lead

Responsibilities Lead the development and implementation of quality management frameworks across Supply Chain Technology systems, ensuring compliance, reliability, and performance Oversee digital quality programs, including system validation, testing, and continuous improvement initiatives aligned with business and regulatory requirements Drive the integration of AI and advanced analytics into quality systems to enhance monitoring, predictive insights, and process optimization Establish and monitor quality metrics, dashboards, and scorecards to evaluate system performance and identify opportunities for improvement Partner with cross-functional teams (IT, Supply Chain, Quality, Regulatory) to ensure alignment on quality standards and execution priorities Lead risk management activities, including assessment of system controls, mitigation strategies, and issue escalation processes Guide process improvement initiatives, leveraging methodologies such as Lean, Six Sigma, or continuous improvement practices Ensure adherence to regulatory and compliance standards, including auditing systems, interpreting regulations, and implementing required changes Manage and develop a team, providing coaching, performance feedback, and career development support Foster a culture of quality, innovation, and accountability aligned with organizational values and business goals Requirements Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field required 10+ years of relevant experience in IT, digital quality, or quality systems management Demonstrated experience implementing and managing IT/digital quality frameworks and systems Strong understanding of regulatory compliance, risk management, and system validation in a regulated environment Experience leading cross-functional teams and complex technology programs Proven ability to drive continuous improvement and process optimization initiatives Strong analytical and problem-solving skills, with experience interpreting system performance data Excellent communication and stakeholder management skills. Certification in Lean, Six Sigma, or quality management methodologies Experience applying AI/ML or advanced analytics to quality systems or supply chain processes Background in Supply Chain Technology or MedTech environments Familiarity with digital transformation initiatives and enterprise system implementations Experience with audit processes and regulatory inspections Knowledge of enterprise platforms (e.g., ERP, MES, or quality management systems) #J-18808-Ljbffr Jobtailor