Manager, Master Data Management

Job Function:

Quality

Job Sub Function:

Digital Quality

Job Category:

Professional

All Job Posting Locations:

Allschwil, Switzerland, Beerse, Antwerp, Belgium, Raritan, New Jersey, United States of America, Zug, Switzerland

Job Description:

Job Summary

The 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.

The 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.

Key Responsibilities

Master Data Governance

• Define and implement IM QM&D Master Data Management (MDM) strategy and roadmap.
• Establish and maintain data governance processes, standards, policies, and controls.
• Define ownership, stewardship, and accountability for master data domains.
• Chair governance forums and facilitate decision-making on data standards and priorities.
• Ensure alignment with data governance frameworks and operating models at enterprise level in other organizations across Innovative Medicine.

Master Data Quality Management

• Monitor and clean data sets to ensure accuracy, completeness, and consistency across systems
• Define master data quality metrics, business rules, and monitoring processes in collaboration with the different stakeholders in IM Quality.
• Lead proactive identification, remediation, and prevention of master data quality issues.
• Establish master data quality dashboards and critical metrics.
• Drive root‑cause analysis and corrective actions for recurring data issues.
• Partner with business and technology teams to improve data accuracy, completeness, consistency, and timeliness.

Master Data Operations

• Be responsible for lifecycle management of master data from creation through retirement.
• Ensure effective methods for data creation, validation, approval, synchronization, and maintenance.
• Manage reference data and hierarchies across systems.
• Coordinate master data cleansing, deduplication, harmonization, and enrichment activities.
• Ensure seamless integration of master data across enterprise applications and analytical platforms.

Business Partnership

• Collaborate with business process owners, functional leaders, data stewards, and IT teams to understand data requirements.
• Translate business needs into master data standards and governance solutions.
• Drive adoption of data management guidelines through training and organizational change activities.
• Act as the escalation point for master data issues and governance decisions.

Compliance and Risk Management

• Ensure compliance with corporate policies, regulatory requirements, and data privacy standards.
• Support internal and external audits related to data governance and data integrity.
• Promote adherence to industry standards such as DAMA‑DMBOK, ISO 8000, GDPR, and GxP requirements where applicable.
• Maintain documentation, lineage, metadata, and auditability for key master data assets.

Continuous Improvement

• Find opportunities for automation and process optimization.
• Evaluate and implement MDM tools and integration workflows.
• Drive continuous improvement initiatives to increase data maturity and business value.
• Develop and track critical metrics that demonstrate the effectiveness of master data management capabilities.

Leadership Responsibilities

• Lead and mentor data stewards, business SMEs, and data management professionals.
• Develop a culture of data ownership, accountability, and quality.
• Influence senior stakeholders and obtain alignment across multiple business domains.
• Drive enterprise-wide adoption of data standards and governance practices.

Required Qualifications

Education

• Bachelor's degree or equivalent experience in Information Management, Computer Science, Data Science, Engineering, or related field.
• Master's degree preferr