The (Enterprise Information Architecture) EIA practice is seeking an Information Architect, that aligns to the Operations line of business encompassing Global Supply Chain and Manufacturing.
The Operations Information Architecture team supports the following business capability areas: -
Develop: Development and commercialisation of medicines emerging from R&D
Plan: Supply chain planning and optimisation
Source: Procurement of externally sourced materials and contract manufacturing
Make: Manufacturing and quality release of medicines in a validated (GMP) environment
Delivery: the delivery of medicines to patients
The role will focus on the definition and governance of enterprise information architectures, strategies, designs, models and consolidating thinking and artefacts across Operations, one or more projects/programmes, to drive out enterprise thinking and delivery across
Required Skills and Experience:
Bachelors Degree or equivalent number of years of experience in a Computer Science or Data Management related field.
Experience in leading and delivering enterprise data platform architectural thinking, and its practical application.
Experience in the use of conceptual and logical data modelling technologies.
Experience in defining and working with information and data regulatory governance.
The role holder will possess a blend of data/information architecture, analysis, and engineering skills.
Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies (e.g. FAIR data principles, Data Mesh).
Understanding the appropriate data structure and technology based on business use case and completely familiar with data lifecycles.
Experience in a data architect role with practical examples of designing and providing data engineering/architectural blueprints that have been implemented.
Experience of Information and Data Governance frameworks and their application in a commercial organisation
Understands Data Platforms concepts and cloud-based containerization strategies for hybrid cloud environments.
Experience in the use of tooling, e.g. metadata cataloguing tools, data modelling tools, EA tools
Understanding of, or familiarity with, Data Mesh approaches (as distinct from Data Fabric or Data Platform
Experience working in matrix-based environment with multiple stakeholder groups identifying priorities.
Experience of working in the Pharmaceutical industry.
* Free services are subject to limitations
#J-18808-Ljbffr
