Manager, Data Quality Operations
Listed on 2026-06-07
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IT/Tech
Data Analyst, Data Engineer
Job Posting Locations
Beerse, Antwerp, Belgium;
Latina, Italy;
Little Island, Cork, Ireland;
Raritan, New Jersey, United States of America;
Ringaskiddy, Cork, Ireland;
Schaffhausen, Switzerland;
Titusville, New Jersey, United States of America;
Zug, Switzerland
As we are building out our Data Strategy and Operations organization, we are creating this role as part of our Master Data Process and Capability team. Our key accountabilities include design and maintenance of master data management governance policies and procedures that are aligned with business objectives and regulatory requirements. Our team enables End‑to‑End Master Data Management workflows, ensuring standardized global MDM processes that leverage technology for automating and orchestrating timely master data set‑up.
We coordinate master data management processes, maintain key data elements, resolve master data issues, and monitor data quality. By working closely with key partners, we manage master data tasks and risks related to new product launches ensuring deadlines are met.
The Manager for Data Quality Operations leads and oversees activities to ensure the accuracy, completeness, and consistency of data, acting as a crucial link between business operations and IT, defining data standards, implementing validation rules, monitoring data health, and overseeing remediation efforts to ensure data is trustworthy for decision‑making. As a key leader within the Data Management Team, the Manager, Data Quality Operations will help co‑ordinate peers from across our supply chain functions, set priorities, and partner with other leaders across the organization to ensure that master data processes align with business objectives and product launch timelines.
Key Responsibilities- Contribute to the definition of data quality policies, standards, and targets; data dictionaries, business glossaries, and compliance rules.
- Review data for errors, inaccuracies, or missing information; build dashboards, monitor data health, and identify trends in data issues.
- Lead root‑cause analysis of data quality errors and coordinate remediation plans with teams to rectify issues.
- Work with Data Stewards, IT, Supply Chain functions, and Operations to align data management systems, ensure data integrity, and enforce validation rules.
- Analyze data quality management processes to identify inefficiencies and areas for improvement; drive adoption of tools, templates, and automated workflows to increase productivity and minimize errors; partner with IT to continuously improve system integration and resolve system‑related challenges.
- Generate regular and ad‑hoc reports on data quality health, past issues, and improvement opportunities; report KPIs measuring reduction in data discrepancies and data quality score improvement in dashboards.
- Participate in the Operational Data Quality working group in collaboration with functional data stewards across Make, Plan, Source, Deliver, Quality, Finance, and ATSC to ensure day‑to‑day data quality, compliance, and governance policy adherence.
- Contribute to the analysis of data & business validation rules and implement automated validation in collaboration with IT partners across master data workflow tools and ERP platforms.
A minimum of a Bachelor's/University degree or equivalent through experience is required. Fully competent manager with solid general industry and company knowledge (e.g., Johnson & Johnson or comparable regulated industry). 5+ years of related experience. Demonstrated experience managing processes, functions and teams in an operational environment. Experience working within defined processes while driving continuous improvement.
Required Skills- Deep expertise in enterprise ERP systems (e.g., SAP/S4
HANA) & familiarity with related systems. - Advanced proficiency in Microsoft Excel, Power BI, Tableau, and/or SQL for data validation & reporting.
- Strong understanding of master data governance principles, data lifecycle management, and related best practices.
- Exceptional analytical and problem‑solving skills, with a focus on data quality improvement.
- Strong organizational and…
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