Job Description
Position summary :
Position in a global environment, responsible for leading digital quality initiatives, including the Quality work package within the international implementation of SAP S/4HANA and the integration of multiple eQMS, digital platforms (e.g., Polarion, Salesforce, Veeva, Trackwise, Dot Compliance).
The role focuses on defining, harmonizing, and optimizing business processes within a digital quality ecosystem, considering system interfaces, AI-driven solutions, and data governance across multiple manufacturing and distribution sites as well as headquarters.
Primary duties and responsibilities :
- Actively participate in all activities required for the implementation of digital systems impacting business processes (primarily SAP S/4HANA, including interfaces to other systems such as Polarion, Salesforce, and other eQMS platforms)
- Lead the Quality Management (QM) work package within the global SAP S/4HANA implementation project
- Analyze newly defined and existing S/4HANA processes for feasibility in high-volume, highly regulated environments
- Collaborate with functions and business units to Identify requirements
- Aligning requirements with global quality representatives prior implementation
- Implement changes within the digital process landscape
- Map end-to-end processes and system interfaces, identifying risks, including process efficiency and compliance risks
- Support global rollout activities, including system validation and testing of SAP use cases
- Troubleshoot post-implementation issues and recommend feasible, compliant solutions
- Work autonomously to gather required information and collaborate with relevant stakeholders
- Act proactively, deriving conclusions and driving decisions based on limited or incomplete information
- Ensure timely and effective communication with all relevant stakeholders
- Support additional activities as required by line management.
AI & Digital Quality Innovation
- Identify and drive opportunities for AI-enabled quality improvements (e.g., automation, predictive quality, AI agents)
- Support the creation, training, and deployment of AI agents to enhance quality processes and decision-making
- Ensure AI-based solutions comply with regulatory and quality requirements
- Contribute to continuous improvement and innovation within the digital quality landscape .
Data Governance
- Define and implement data governance standards for quality-relevant data across SAP, eQMS, and interfacing systems
- Ensure data integrity, consistency, and traceability across the digital ecosystem
- Define data ownership, data flows, and lifecycle management for quality data
- Monitor and mitigate data-related risks impacting compliance and business processes.
Quality Management System
- Review and provide feedback on global Quality work package documentation and implementation processes to ensure compliance with the Quality Management System and ISO 13485 requirements
- Create and maintain QMS documentation (procedures, work instructions, digital process documentation) required for compliance and successful system implementation
- Ensure alignment of digital systems with regulatory requirements (e.g., ISO 13485, MDR, GxP, FDA 21 CFR)
- Support QMS team in additional quality-related activities as required by line management.
Education / Professional Certification
- Academic degree (Bachelor or higher) in Quality Management, Engineering, IT, Life Sciences, Business Administration, or a related field.
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Experience
- 5+ years of experience in digital quality, SAP S/4HANA, or eQMS implementation in a global environment
- Experience as SAP superuser, especially in QM-related processes
- Experience with eQMS platforms (e.g., Polarion, TrackWise, Master Control, or similar)
- Minimum 3–5 years of experience in regulated Quality Management Systems (ISO 13485 preferred)
- Experience in SAP S/4HANA implementation preferred
- Exposure to AI, automation, or digital innovation projects is an advantage
Knowledge / Skills / Other characteristics
- Strong experience with SAP S/4HANA, particularly in manufacturing environments
- Experience in integrating multiple digital systems and managing interfaces
- Knowledge of Quality Management Systems and regulatory frameworks (ISO 13485, MDR, GxP, FDA 21 CFR)
- Knowledge of quality tools and methods (e.g., CAPA, incoming inspection, recalls, quarantine, control plans)
- Experience in data governance, data structures, and data lifecycle management
- Familiarity with AI concepts, including AI agent creation and training
- Experience in mapping complex business processes in high-volume, regulated environments
- Experience in business process improvement (Six Sigma is a plus)
- Strong analytical skills with the ability to derive conclusions from incomplete or ambiguous information
- Proven ability to work independently with excellent communication and organizational skills
- Proven ability to troubleshoot digital system implementation issues
Skills
Business Process ImprovementData GovernanceData IntegrityImplementationProcess ImprovementQuality ManagementAiIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
01 Aug 26, 04:19 PM IST
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