Manager, Data Quality Operations

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Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Governance & Policy

Job Category:

Professional

All 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

Job Description:

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 have the opportunity to lead a critical function, 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

* Strategy & Governance:
Contribute to the definition of data quality policies, standards, and targets. Contribute to data dictionaries, business glossaries, and compliance rules.

* Data Monitoring & Analysis:
Review data for errors, inaccuracies, or missing information. Utilize tools to build dashboards, monitor data health, and identify trends in data issues.

* Error Management & Remediation:
Lead root-cause analysis of data quality errors and coordinating remediation plans with teams to rectify issues.

* Stakeholder

Collaboration:

Work with Data Stewards, IT, Supply Chain functions, and Operations to align data management systems, ensure data integrity, and enforce validation rules.

* Process Optimization and Automation:
Analyse data quality management processes to identify inefficiencies and areas for improvement. Drive the adoption of tools, templates, and automated workflows to increase data team productivity and minimize errors. Partner with IT to continuously improve system integration and resolve system-related challenges.

* Data Reporting & Business Insights:
Generate regular and ad-hoc reports on data quality health, past issues, and improvement opportunities. Report on Key Performance Indicators (KPIs) measuring reduction in data discrepancies, data quality score improvement in dashboards.

* Data Governance Working Group Master Data Quality:
Participate in the Operational…