Manager, Master Data Management
Johnson & Johnson is hiring a Manager, Master Data Management. Level rates it ; you can apply on Johnson & Johnson.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions Master Data Management, data governance and data quality among its tools and skills.
- Level classes it as a senior role.
- Johnson & Johnson has 1,700+ other open roles on Level.
- Posted within the past week.
AI in this role
Define and govern master data assets, standards, and data quality initiatives across business processes and digital platforms.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):
Belgium R-108294, Switzerland R-108636, United States of America R-108637
Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.
Job Function:
QualityJob Sub Function:
Digital QualityJob Category:
ProfessionalAll Job Posting Locations:
Allschwil, Switzerland, Zug, SwitzerlandJob 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 preferred.
Experience
- proven ability in data management, master data management, data governance, or related disciplines.
- Demonstrated experience implementing MDM programs.
- Experience handling multi-functional stakeholders in global organizations.
- Experience working with data warehouse, and cloud data platforms.
Technical Skills
- Master Data Management platforms (SAP MDG, Informatica MDM, Reltio, Profisee, or equivalent).
- Data governance and metadata platforms (Collibra, Alation, etc.).
- Data quality management and profiling tools.
- SQL and data modeling knowledge.
- Understanding of data integration, APIs, and cloud platforms.
- Knowledge of reporting and visualization tools such as Power BI or Tableau.
Competencies
- Strategic thinking
- Strong analytical and problem-solving skills
- Communication and presentation excellence
- Business process understanding
- Continuous improvement attitude
Required Skills:
Preferred Skills:
Coaching, Compliance Management, Controls Compliance, Performance Measurement, Process Improvements, Process Optimization, Quality Control (QC), Quality Standards, Quality Validation, Regulatory Compliance, Researching, Stakeholder Engagement, Standard Operating Procedure (SOP)How we rate this
Manager, Master Data Management at Johnson & Johnson rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where data quality was part of your work. What did you do?
- Tell me about a project where master data management was part of your work. What did you do?
- Tell me about a project where regulatory compliance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Governance, Data Quality, Master Data Management, and Regulatory Compliance. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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