Data Quality Expert (m/f/n)
MyTechJobs
*CONTRACT
*Germany
IngelheimProject ScopeWe are seeking an experienced Senior Data Quality Expert / Manager to support a strategic global initiative focused on improving data quality, master data governance, and AI-ready data foundations within a Quality IT system landscape.
The assignment focuses on establishing transparent data quality monitoring, scalable governance concepts, robust master data structures, and data models that enable advanced analytics and AI use cases.
The external expert will provide independent professional services and work with relevant business, data, process, and IT stakeholders to develop and implement agreed project deliverables.
Key Project ActivitiesAssess the current data quality landscape and define relevant quality dimensions, business rules, KPIs, and measurement approaches.
Design dashboards, scorecards, and reporting concepts for transparent data quality monitoring.
Develop a sustainable Data Quality Governance and Monitoring Framework, including target states and measurable improvement objectives.
Analyze complex datasets to identify inconsistencies, duplicates, missing data, anomalies, and root causes.
Develop and assess AI- and analytics-based approaches for anomaly detection, proactive monitoring, root-cause analysis, and actionable recommendations.
Identify critical master data objects, relationships, attributes, and governance requirements.
Develop recommendations for harmonized master data standards and a Single Source of Truth.
Create and document conceptual, logical, and physical data models, including relationships, hierarchies, metadata, and dependencies.
Define global standards and processes for data creation, maintenance, and quality assurance.
Specify data quality requirements for interfaces, integrations, APIs, and enterprise data flows.
Facilitate workshops with subject-matter experts and relevant stakeholders as required for the project.
Support global rollout, adoption, and continuous improvement activities.
Expected DeliverablesData Quality Dashboard and KPI Framework
Data Quality Improvement Roadmap
Data Quality Monitoring and Governance Framework
Target Data Model Documentation
Master Data Governance Recommendations
Global Data Creation and Maintenance Process Concepts
AI-Enabled Data Quality Analysis Concepts and Use Cases
Interface and Data Quality Requirements
Rollout and Adoption Support Materials
Continuous Improvement Backlog and Feedback Workflow
Required Expertise5+ years of relevant professional or project experience in Data Quality Management, Data Governance, Data Analytics, Data Architecture, or Master Data Management.
Strong expertise in data modelling and enterprise data structures.
Proven experience designing data governance frameworks and data quality KPIs.
Strong analytical capabilities and experience working with large and complex datasets.
Experience with data visualization solutions such as Power BI.
Sound knowledge of Master Data Management concepts and governance models.
Experience with data quality monitoring tools and solutions.
Understanding of enterprise interfaces, APIs, system integrations, and data architecture.
Practical experience applying AI or Machine Learning techniques to data analysis, anomaly detection, or data quality monitoring.
Experience facilitating cross-functional workshops and supporting global transformation or rollout initiatives.
Preferred BackgroundExperience in regulated environments such as GxP, pharmaceuticals, life sciences, or healthcare.
Familiarity with Quality Management Systems, LIMS, SAP QM, Veeva, or comparable enterprise platforms.
Experience with global digital transformation or data improvement programs.
Academic background in Information Management, Data Science, Computer Science, Business Informatics, Life Sciences, or a related discipline is advantageous.
Additional information:
Start: 01.09.2026
Duration: 4 months (until 31.12.2026)
Work load: 40 h/week
Remote share: 100%
OCR-ID: OCR-FL-B2962
Your OCR contact:
Barbara Kalisch
Tel.: *****
Mail: *****