Job
Description
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. What you ll do We are looking for a passionate Information Architect, who will play a leading role in ensuring that AstraZeneca architects and builds solutions that deliver FAIR data products enabling both digital and data/AI. Focusing initially on our regulatory domain, which is the business group involved in managing all AstraZeneca regulatory submissions and interactions, you will lead activities to define the information architecture for the domain, including data models, master data strategies, metadata strategies and the connection with the enterprise data office to ensure that data is appropriately defined and governed. You will have a responsibility to deliver the efficient design of data and information architectures to support business objectives. A key component of delivery will be to ensure that AstraZeneca data is Findable, Accessible, Interoperable and Reusable (FAIR) across our systems, ready for either direct use by consumers or AI machines. You will also partner with other functions, such as engineering, business data governance and data analysis as well as Enterprise architecture functions to deliver business value. The role will focus on the Axial definition and governance of enterprise information architectures, strategies, designs, models and consolidating thinking and artefacts across Axial, one or more projects/programmes, to drive out enterprise thinking and delivery across AstraZeneca IT function. The role will also support the definition of enterprise Data Strategies which may include information and data, regulatory or technical governances in a Data Mesh architecture, data innovation, enterprise architectures, governance policies standards and procedures. Essential for the role Strong knowledge of and experience with SAP Data structures in functional areas such as Quality Management, Clinical Supply, Procurement, Supply Planning, Sales & Distribution, Warehouse Management, Production Planning, etc. Responsible for delivering coherent strategic and tactical architectural thinking across information and data architectures, MRDM, data strategies, and information and data governances. Responsible for working within the Enterprise Data Architecture Framework and defining, extending, managing, and benchmarking projects against leading practices, models (logical, physical, semantic), standards, frameworks, and the overall Blueprint for a project. Support the Lead of Information Architecture Axial in developing strategy and best practice for Information Architecture. Contributes to the overall Enterprise Data Strategy in partnership the AstraZeneca business functions, solution developments and functional project. Good Communication skills - should be able to interact effectively with the stakeholders at all levels. Experience in translating requirements into fit for purpose data models, data processing designs, data mappings and data profile reports Experience in working relevant domains e.g. Pharma, R&D, Manufacturing, Commercial, Finance, HR, Legal, Facilities etc. Prior experience in SAP Information Architecture Excellent written and verbal communication, and consultancy skills The role holder will possess a blend of information architecture and analysis skills, together with experience in overseeing implementation within engineered solutions. Experience of enterprise data modelling and usage of tools such as ER Studio and SAP Power Designer. Experience of designing master data solutions and strategies. Experience in the use of metadata standards. Desirable for the role Understanding of FAIR data management principles Experience of running a data architecture governance function Experience in coaching Junior Analysts and guiding team members to improve their skills for future Business (Data) Transformation.
