Jobs in London - S/4 Data Expert - Procurement and Materials Management • Central London

Company: RED Global

Central London

S/4 Data Expert - 6 months + - Contract - January 2026 Start - Hybrid 3 days in office - Pharma About the Role We are looking for an experienced S/4 Data Expert to define our client's business data requirements, set enterprise data standards and ensure ECC data is ready for migration into S/4HANA. Working within the P&MM function, you'll partner across business, data and programme teams to deliver a high-quality, SAP-aligned data design that supports both process execution and analytics. Key Responsibilities Define and implement S/4 data standards for P&MM, including master and reference data. Support S/4 process and analytics design with deep data and object expertise. Align S/4 data design with enterprise standards, including interim-state models. Drive and report on P&MM data delivery priorities. Shape the current-to-future-state data journey, including change impact assessments. Ensure non-SAP system requirements are considered in the design. Contribute to Data Governance, Data Quality and Cleanse & Migration strategies. Support data migration activities, including business sign-off. Ensure compliance with global data governance frameworks and standards. Essential Experience Significant P&MM domain expertise with strong understanding of data's role in processes and reporting. Experience in data design change, user impact assessments and education. Proven ability to create and implement global Data Standards. Strong SAP and S/4HANA understanding across transactions, integration and reporting. Business/IT partnering experience in Data Governance initiatives. Excellent communication, stakeholder management and prioritisation skills. Desirable Coupa (S2C/P2P) knowledge Life sciences/healthcare experience Data Governance and Data Quality expertise Take the Lead on a Major S/4 Transformation If you're a P&MM data specialist ready to shape enterprise-wide S/4 data foundations, apply now and help build a high-quality, future-ready data landscape.