Tax & Treasury Data Architect – S/4HANA ERP (18m FTC)

AstraZeneca plc; Luton; Sur place; GBP 111 000 - 166 000; Plein temps

Résumé du poste

AstraZeneca plc is seeking a Data Design Expert for Tax and Treasury on an 18-month fixed-term contract in Luton. You will architect enterprise-grade SAP S/4HANA data models to power real-time decisions, while shaping data standards and governance across finance, tax, treasury and ERP landscapes.

You will lead workshops with global teams, own end-to-end data design, and support migration from planning through cutover, ensuring accuracy and scalability in a complex ERP transformation.

Qualifications

• SAP Finance certification required.
• Minimum two end-to-end SAP S/4HANA implementation experiences.
• Relevant degree or equivalent professional experience in Finance, Accounting, Tax or a related discipline.

Responsabilités

• Define, design, document and implement enterprise data standards for Tax and Treasury.
• Own the Tax and Treasury data model across SAP S/4HANA and connected applications, ensuring alignment to business processes.
• Lead data design for key tax domains and integrations including ONESOURCE and DRC.
• Support data migration planning, validation, testing and cutover to protect timelines.
• Define and govern Bank Master Data and exchange-rate governance.

Connaissances

SAP S/4HANA knowledge

Data modeling

Stakeholder workshop facilitation

Formation

Relevant degree or equivalent professional experience in Finance, Accounting, Tax or a related discipline

Outils

SAP MDG

DRC (Document and Reporting Compliance)

ONESOURCE

Longview

Description du poste

AstraZeneca plc is seeking a Data Design Expert for Tax and Treasury on an 18-month fixed-term contract in Luton. You will architect enterprise-grade SAP S/4HANA data models to power real-time decisions, while shaping data standards and governance across finance, tax, treasury and ERP landscapes.

You will lead workshops with global teams, own end-to-end data design, and support migration from planning through cutover, ensuring accuracy and scalability in a complex ERP transformation.