Data Design & Governance Lead - SAP S/4HANA Tax & Treasury

AstraZeneca plc; Luton; Vor Ort; GBP 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Flexible working

Office three days per week

Zusammenfassung

AstraZeneca plc is seeking a Data Design Expert for Tax and Treasury to architect enterprise-grade data models in SAP S/4HANA. You will define enterprise data standards, own end-to-end data design, and collaborate with Finance, Tax, Treasury, IT and external partners across a global ERP program.

You will lead workshops, translate complex requirements into scalable data designs and ensure migration readiness, data quality and governance across multiple markets while supporting cutover activities

Qualifikationen

• Strong hands-on experience in SAP S/4HANA Finance data design across Tax and Treasury processes.
• Minimum two end-to-end SAP S/4HANA implementations focusing on data design, migration and deployment.
• Experience with SAP S/4HANA, ONESOURCE, DRC, Longview and related tax/treasury tools.

Aufgaben

• Define and govern Tax and Treasury data standards for SAP S/4HANA landscape.
• Own data model across SAP S/4HANA and integrated apps including migration readiness.
• Lead global data-design workshops and ensure localization and integration dependencies are captured.
• Support data migration, testing, cutover and post-go-live readiness from a data perspective.
• Contribute to designs and documentation to ensure reusable, testable data solutions.

Kenntnisse

SAP S/4HANA Finance

Data design

Tax knowledge

Treasury data

Data governance

Workshop facilitation

Ausbildung

Finance/Accounting degree

SAP Finance certification

Tools

ONESOURCE

DRC

Longview

SAC

Jobbeschreibung

AstraZeneca plc is seeking a Data Design Expert for Tax and Treasury to architect enterprise-grade data models in SAP S/4HANA. You will define enterprise data standards, own end-to-end data design, and collaborate with Finance, Tax, Treasury, IT and external partners across a global ERP program.

You will lead workshops, translate complex requirements into scalable data designs and ensure migration readiness, data quality and governance across multiple markets while supporting cutover activities