Axial Data Design Lead – Clinical Supply - Secondment
Listed on 2025-12-30
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IT/Tech
Data Engineer, Data Analyst
Axial Data Design Lead – Clinical Supply - 24 Month Secondment
Macclesfield / Sweden
The Axial Programme (Global S/4HANA implementation)
AstraZeneca (AZ) is in a period of rapid growth and our employees have a united purpose to make a difference to patients around the world who need both our medicines and the ongoing developments from our science. In this journey AZ must continue to work across borders and with partners and new colleagues in a fast and seamless way. The ambition, size, and complexity of the organisation, coupled with the opportunities afforded by innovative technology, has led the Board to approve a large-scale transformation of the IT landscape by the replacement of current ERP (Enterprise Resource Planning) systems with one global solution.
Our current technology is used by more than 20,000 employees daily, is foundational to all AZ entities and is central to most core business processes. This programme provides the opportunity for real transformation and to shape the way of working globally for many years to come.
This programme, the Axial programme, requires the best. Whether it be the technical skills, business understanding or change leadership, we want to ensure we have the strongest team deployed throughout. The programme seeks to deliver a world class change programme that leaves all employees with a fuller understanding of their role in the end-to-end nature of our global company. This programme will provide AZ with a competitive edge, to the benefits of its employees and patients.
Introductionto the role
The Axial Data Lead – Clinical Supply is responsible for coordinating on all business data requirements within the S/4 HANA design and deployment process, along with defining and documenting clear Data Standards including robust Data Management and Governance processes and enable data readiness at the point of go-live.
The role is aligned to the Enterprise Process Owner (EPO) organisation and is responsible for owning the relationship between the Axial Data organisation and the EPO team, representing Clinical Supply data demands across interlinked EPO areas, and proactively engaging with the wider business (including Clinical organisation, Data Offices, Governance Forums and local Sites) to ensure that the S/4 data design meets business requirements, aligns to SAP standard where possible and that S/4 data can be used with confidence achieving a Quality Core at go-live.
Whatyou'll do
Land S/4
HANA target state business data standards by providing data leadership, stewardship and data subject matter expertise into the process and data design cycles, ensuring process designs align with S/4
HANA data best practice concepts, process data requirements are collected and consolidated into robust data documentations and are appropriately managed during interim state.
- Lead the definition, documentation and implementation of S/4 Enterprise Data standards related to assigned data domain, including master data, reference data and metadata – confirming the business context and ensuring approval in accordance with defined data governance. To include the development of conceptual models, business glossary and ontologies.
- Apply data, process and object expertise to support the S/4 process and technical design, acting as an integral part of the EPO process team, considering both business process and analytics requirements.
- Collect and share relevant as-is data structures and harmonisation assessments alongside best practice to-be Data Design proposals and feed into the Global Design process where useful.
- Deliver effective global data management processes and procedures to ensure that each data asset, is governed throughout its lifecycle working closely with the Axial and BAU Data Governance teams.
Ensure data readiness at Axial go-live through leading the data localisation within the assigned data domain enabling the data migration and steering the data quality approach, interim state, and the ongoing management of data to ensure that it remains fit for purpose post deployment.
- Lead data domain related data localisation and transformation activities by integrating closely with the local site…
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