Job Description & Scope
Job description Role Title: Lead Consultant - S/4 Data Expert - EWM (P2DD) Location: Chennai We are one purpose-led global organisation. The enablers and innovators, ensuring that we can fulfil our mission to push the boundaries of science and discover and develop life-changing medicines. We take pride in working close to the cause, opening the locks to save lives, ultimately making a massive difference to the outside world. AstraZeneca (AZ) is in a period of strong 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 new technology, has led the Board to approve a large-scale transformation programme - Axial. The Axial Programme will be powered by S/4HANA a new ERP (Enterprise Resource Planning) system which will be implemented right across the organisation and will provide our business with standardised processes, enhanced financial management, common data and real time reporting, transforming the way we work through our entire supply chain - from bench to patient. The new system will be used by more than 20,000 employees daily, is foundational to all AZ entities and is central to most core business processes. This is a once in a generation programme for AstraZeneca and will shape our ways of working globally for many years to come. The Axial programme needs the best talent to work in it. Whether it s the technical skills, business understanding or change leadership, we want to ensure we have the strongest team deployed throughout. We are aiming 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 benefit of our employees, customers and patients. The S/4 Data Expert - EWM is responsible for supporting on the definition of business data requirements within the S/4 HANA design process, along with defining and documenting the S/4 Enterprise Data Standards and ensuring that existing ECC data is fit for purpose at the point of migration to S/4 HANA for a defined group of data objects / processes. The role is aligned to EWM (P2DD - Production to Dispatch Door EWM EPO Area) and is responsible for proactively engaging with the wider business including data offices and governance forums and other relevant stakeholders 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. What you ll do Support the definition, documentation and implementation of S/4 Enterprise Data standards related to P2DD, including master data, reference data and metadata - collecting 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 S/4 process design, acting as an integral part of the P2DD EWM design team, considering both business process and analytics requirements. Collaborates with current business data capability to ensure that S/4 design and the wider enterprise data design remain aligned (including supporting interim state). Influence in the prioritisation of data delivery as related to P2DD EWM defining and managing reporting on progress to relevant stakeholders. Supports with the definition of the change journey from current to future state data design including completion of change impact assessments and outline of critical use case examples. Ensure that non-SAP system requirements are understood and considered in the data design. Contribute to the development of the S/4 Data Governance Strategy and Roadmap, in collaboration with the business data offices, the S/4 Da
