Finance Global Master Data Lead | SAP & MDG Expert

Eli Lilly and Company

Cork

On-site

EUR 32,000 - 88,000

Full time

32 hours ago
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Job summary

Lilly is seeking a Global Data Analyst in Ireland to support Master Data Governance for SAP (S/4HANA, MDG/DGIM) within the Finance and P2P domain. You will lead data governance, data quality, and transformation initiatives across affiliates and sites, partnering with IT and business teams to ensure accurate master data loads and ongoing governance.

You will coach stakeholders, drive data mapping and cleansing projects, and help implement AI-enabled data management improvements as part of the

Qualifications

  • Bachelor’s degree in Finance, Business Administration, Materials Management, Engineering, Sciences, Information Technology, or equivalent.
  • 5+ years working with SAP / S4 Hana & SAP Purchase to Pay master data
  • 3+ years of Lilly or industry experience in finance, supply chain, or data management
  • 2+ years of Data & Analytics and knowledge on Microsoft Fabric

Responsibilities

  • Provide cross-functional and geographic perspectives on data governance.
  • Lead data auditing and lifecycle management initiatives across projects.
  • Implement data quality metrics and monitor trends in data quality.
  • Collaborate with IT and business units to load, map, and transform master data.
  • Lead local contacts through Data Mapping, Discovery, and Transformation.
  • Apply governance rules to project work and support transformation objectives.
  • Coach and educate business partners on data governance practices.

Skills

SAP S4HANA
P2P Master Data
Data Governance
Data Analytics
Microsoft Fabric
Communication Skills
Cross-functional Collaboration

Education

Bachelor’s degree in Finance / Business / Engineering / IT

Tools

MDG/DGIM
SAP data models
Precisely (WinShuttle)

Job description

Lilly is seeking a Global Data Analyst in Ireland to support Master Data Governance for SAP (S/4HANA, MDG/DGIM) within the Finance and P2P domain. You will lead data governance, data quality, and transformation initiatives across affiliates and sites, partnering with IT and business teams to ensure accurate master data loads and ongoing governance.

You will coach stakeholders, drive data mapping and cleansing projects, and help implement AI-enabled data management improvements as part of the

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