Company Profile:

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Job description:

Job Description:

As an S/4 Data Expert, you will support the definition, documentation, and implementation of S/4 Enterprise Data standards related to NS&SCP. You will apply your expertise to support S/4 process design and collaborate with current business data capability to ensure alignment. You will influence the prioritization of data delivery, define and manage reporting on progress, and support the definition of the change journey from current to future state data design. Your role will also involve understanding non-SAP system requirements, contributing to the development of the S/4 Data Governance Strategy and Roadmap, and assisting in the development of the S/4 Data Quality Strategy.

Essential Skills/Experience:
- Significant experience and subject matter expertise in Planning/NS&SCP
- Demonstrable experience of designing and implementing Data Standards for a global enterprise
- SAP working knowledge across transactions and reporting in an SAP environment
- Experience with global working and across cultures
- Strong communication skills with the ability to influence others to achieve objectives
- Ability to manage negotiations across a complex group, to a target outcome
- Proven track record of delivery and ability to effectively prioritize to ensure goals and outcomes are achieved

Desirable:
- S/4 HANA implementation programme experience
- Experience in life sciences and healthcare
- Experience in Data Governance
- Experience in measuring, managing and improving Data Quality
- In-depth knowledge of relevant key business processes