Global Master Data Coordinator
UBE Corporation America Inc. · Teaneck, NJ · 1 mo ago
RemoteRemoteInformation TechnologyFull-time
About the role
We are seeking a hands-on highly skilled and experienced Global Master Data Coordinator to support and coordinate global master data operations, governance, analytics, and process execution across business functions during the SAP S/4HANA implementation and ongoing operations.
Responsibilities
- Coordinate the implementation of master data standards, governance processes, policies, and procedures to support organizational objectives.
- Partner with business process owners, regional teams, and IT to help maintain consistent master data quality and support aligned processes across U.S. and APAC regions.
- Organize and facilitate cross-regional master data meetings and working groups, track action items, assist with resolving data issues, and support alignment with business priorities.
- Establish and monitor key performance indicators (KPIs) to track master data quality, compliance, and governance effectiveness.
- Monitor and report on key performance indicators (KPIs) related to master data quality, compliance, and governance, identifying trends and escalating issues as needed.
- Career data activities for SAP S/4HANA, CRM, and related system implementations, supporting data modeling, cleansing, enrichment, migration, validation, and go-live readiness.
- Collaborate with SAP functional and technical teams, system integrators, and data stewards to ensure seamless data flows and integrity during design, testing, and deployment phases.
- Support the migration of master data from legacy systems to SAP S/4HANA by assisting with data mapping, validation, and cutover activities.
- Participate in SAP testing cycles, including User Acceptance Testing (UAT) and integration testing, by validating master data, identifying data quality issues, documenting defects, and supporting process improvements.
- Support the development and maintenance of master data processes, including data creation, change management, hierarchy management, governance checkpoints, and data retirement procedures.
- Collaborate with analytics and business intelligence teams to support accurate master data for operational reporting, dashboards, and analytical initiatives.
- Aid in continuous improvement efforts by identifying process enhancements, monitoring data quality trends, and supporting initiatives to improve efficiency and reduce processing times.
- Collaborate with project stakeholders and business leaders to provide updates on master data activities, identify risks, and support project objectives.
- Work with regional and functional teams to gather business requirements, document data standards, and assist in implementing scalable master data solutions.
- Develop and deliver training materials, process documentation, and user support resources to promote consistent adoption of master data practices across project teams.
Requirements
- Strong functional knowledge of SAP master data domains including Material / Product/ Customer/ Supplier/ Finance, as well as SAP S/4HANA and MDG capabilities.
- Experience with data migration tools, data integration, and transformation frameworks (e.g., SAP BODS, LTMC, Signavio, SAP Information Steward).
- Proficiency in data quality, data modeling, and data lifecycle management best practices.
- Analytical mindset with demonstrated experience working with data analytics, reporting, and predictive modeling capabilities.
- Exceptional communication skills with ability to engage both technical and non-technical stakeholders.
- Strong organizational skills with meticulous attention to detail and ability to manage multiple priorities in a fast-paced global environment.
- Prior experience managing remote and multi-cultural teams.
Qualifications
- Bachelor’s degree in Information Technology, Data Science, Business, Engineering, or related field.
- Minimum 3 years of experience in master data management roles with SAP S/4HANA implementations.
- Demonstrated success in master data coordination, SAP MDG and SAP ERP environments, preferably within manufacturing or supply chain contexts.