Manager, Master Data Management

h3Job Function: /h3 pQuality /p h3Job Sub Function: /h3 pDigital Quality /p h3Job Category: /h3 pProfessional /p h3All Job Posting Locations: /h3 pAllschwil, Switzerland, Beerse, Antwerp, Belgium, Raritan, New Jersey, United States of America, Zug, Switzerland /p h3Job Description: /h3 h3Job Summary /h3 pThe Manager Master Data Management is responsible for defining, governing, and maintaining master data assets for Innovative Medicine Quality Management Digital to ensure accuracy, consistency, integrity, and compliance across business processes and digital platforms. The role serves as the bridge between business functions and technology teams, establishing a governance framework, driving master data quality initiatives, and ensuring master data supports operational excellence, analytics, regulatory compliance, and business decision‑making. /p pThe Manager Master Data Management provides leadership for master data domains, including product, suppliers, equipment, organizations, and reference data, while enabling business stakeholders to maximize the value of IM data assets. This role aligns data standards, processes, and governance practices across functions and geographies to create a trusted source of truth. /p h3Key Responsibilities /h3 h3Master Data Governance /h3 ul liDefine and implement IM QMD Master Data Management (MDM) strategy and roadmap. /li liEstablish and maintain data governance processes, standards, policies, and controls. /li liDefine ownership, stewardship, and accountability for master data domains. /li liChair governance forums and facilitate decision-making on data standards and priorities. /li liEnsure alignment with data governance frameworks and operating models at enterprise level in other organizations across Innovative Medicine. /li /ul h3Master Data Quality Management /h3 ul liMonitor and clean data sets to ensure accuracy, completeness, and consistency across systems /li liDefine master data quality metrics, business rules, and monitoring processes in collaboration with the different stakeholders in IM Quality. /li liLead proactive identification, remediation, and prevention of master data quality issues. /li liEstablish master data quality dashboards and critical metrics. /li liDrive root‑cause analysis and corrective actions for recurring data issues. /li liPartner with business and technology teams to improve data accuracy, completeness, consistency, and timeliness. /li /ul h3Master Data Operations /h3 ul liBe responsible for lifecycle management of master data from creation through retirement. /li liEnsure effective methods for data creation, validation, approval, synchronization, and maintenance. /li liManage reference data and hierarchies across systems. /li liCoordinate master data cleansing, deduplication, harmonization, and enrichment activities. /li liEnsure seamless integration of master data across enterprise applications and analytical platforms. /li /ul h3Business Partnership /h3 ul liCollaborate with business process owners, functional leaders, data stewards, and IT teams to understand data requirements. /li liTranslate business needs into master data standards and governance solutions. /li liDrive adoption of data management guidelines through training and organizational change activities. /li liAct as the escalation point for master data issues and governance decisions. /li /ul h3Compliance and Risk Management /h3 ul liEnsure compliance with corporate policies, regulatory requirements, and data privacy standards. /li liSupport internal and external audits related to data governance and data integrity. /li liPromote adherence to industry standards such as DAMA‑DMBOK, ISO 8000, GDPR, and GxP requirements where applicable. /li liMaintain documentation, lineage, metadata, and auditability for key master data assets. /li /ul h3Continuous Improvement /h3 ul liFind opportunities for automation and process optimization. /li liEvaluate and implement MDM tools and integration workflows. /li liDrive continuous improvement initiatives to increase data maturity and business value. /li liDevelop and track critical metrics that demonstrate the effectiveness of master data management capabilities. /li /ul h3Leadership Responsibilities /h3 ul liLead and mentor data stewards, business SMEs, and data management professionals. /li liDevelop a culture of data ownership, accountability, and quality. /li liInfluence senior stakeholders and obtain alignment across multiple business domains. /li liDrive enterprise-wide adoption of data standards and governance practices. /li /ul h3Required Qualifications /h3 h3Education /h3 ul liBachelor's degree or equivalent experience in Information Management, Computer Science, Data Science, Engineering, or related field. /li liMaster's degree preferred. /li /ul h3Experience /h3 ul liproven ability in data management, master data management, data governance, or related disciplines. /li liDemonstrated experience implementing MDM programs.