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The Senior Manager, Digital Quality Excellence is responsible for establishing and leading the enterprise digital quality strategy, including the integration of AI-enabled capabilities and advanced analytics. This role bridges QcRM, IT, and business stakeholders to ensure regulatory compliance and operational excellence across the total product life cycle.
With a passion for life
Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers – and to save more lives, we need team players, forward thinkers, and game changers.
Are you looking for an inspiring career? You just found it.
Job Overview
The Senior Manager, Digital Quality Excellence is responsible for establishing and leading the enterprise digital quality strategy, ensuring Quality Management System (QMS) digital capabilities, data, and analytics enable proactive, insight-driven decision-making, sustained regulatory compliance, and operational excellence. This role defines and implements scalable digital quality frameworks, and partners with QcRM and IT to define, prioritize, and deliver advanced analytics and AI-enabled capabilities to enhance quality system effectiveness and organizational productivity.
This position serves as a strategic leader bridging QcRM, IT, and Business stakeholders to establish the digital quality strategy across the enterprise. The Senior Manager leads the evaluation, prioritization, and deployment of AI-enabled capabilities to continuously improve key quality areas such as audit readiness, continuous improvement and CAPA effectiveness, and enhance overall quality system maturity and efficiency.
The role ensures digital quality systems, analytics platforms, and AI-enabled capabilities comply with applicable regulatory requirements, including FDA 21 CFR Part 820 / QMSR, ISO 13485, ISO 9001, EU MDR, emerging digital and AI requirements such as the EU AI Act, and global data integrity expectations, while supporting enterprise digital transformation and continuous improvement initiatives.
Additionally, this role serves as the enterprise subject matter expert and strategic leader for Artificial Intelligence (AI), Machine Learning (ML), and Software as a Medical Device (SaMD) quality and regulatory frameworks across the Total Product Life Cycle. The position partners with cross-functional leaders to establish governance, development practices, validation approaches, and post-market monitoring strategies for AI-enabled medical technologies.
The role provides thought leadership regarding emerging global regulations and standards governing AI-enabled medical devices, including FDA AI/ML guidance, Good Machine Learning Practice (GMLP), IEC 62304, IEC 82304, ISO 14971, ISO/TR 20416, and applicable global AI regulations.
Job Responsibilities and Essential Duties
Digital Governance
Digital Enablement & Operational Excellence
Quality Intelligence & Analytics
AI-Enabled Medical Technology Strategy
Perform other duties as assigned.
Minimum Requirements
Required Knowledge, Skills and Abilities
The base salary for this position is a minimum of $178,000 and a maximum of $215,000 plus an annual bonus of 25%
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About us
With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and solutions aiming to improve clinical results and optimize workflows. The offering includes products and solutions for intensive care, cardiovascular procedures, operating rooms, sterile reprocessing and life science. Getinge employs over 12,000 people worldwide and the products are sold in more than 135 countries.
Benefits at Getinge:
At Getinge, we offer a comprehensive benefits package, which includes:
Getinge is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, disability, protected veteran status or any other characteristic protected by law. Reasonable accommodations are available upon request for candidates taking part in all aspects of the selection process.
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