Introduction to Role: Join our Global Enterprise Architect (GEA) Team, where we support the global development of AstraZeneca AI products. We work closely with teams across Business Technology Group (BTG – Business Unit) IT teams, Research and Development, data governance teams, and SET Area (Line of Business) Data Offices (SEDO). Our worldwide enterprise data architecture (EAIA) practice operates inside the GEA, providing vital designs, patterns, reference architecture, and framework and services centered on the ingestion, extraction, processing, transformation, transport, storage, data visualization, data security, and representation of knowledge.
Enterprise Information Architecture Accountabilities: Collaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases.Align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders.Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings.Audit AI tools and practices across data, models, and software engineering with a focus on continuous improvement.Work closely with security and risk leaders to foresee and overturn risks, such as training data poisoning, AI model theft, and adversarial samples, ensuring ethical AI implementation and restoring trust in AI systems.Remain acquainted with upcoming regulations and map them to best practices.Understand the workflow and pipeline architectures of ML and deep learning workloads.Possess in-depth knowledge of components and architectural trade-offs involved across data management, governance, model building, deployment, and production workflows of AI.Apply software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes, and CI/CD.Utilize data science and advanced analytics, including knowledge of sophisticated analytics tools (such as SAS, R, and Python) along with applied mathematics, ML, and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks).Exhibit thought leadership and a collaborative mindset to ensure that AI platforms deliver both business and technical requirements.EDO/IT aligned Accountabilities: Deliver and manage Information Architecture (IA), conceptual and logical models, for operational, master, and data products including data models, information flows, master/reference data, and metadata designs to meet one or more Business Capability requirements.Work with business leaders to evolve IA designs to support business strategy.Own the IA designs of one or more Business capability level IA designs, especially major/complex Business Capability areas.Take on accountability for the IA of major change programs impacting whole Business capability areas.
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