**Lead Enterprise Architect - Artificial Intelligence**:
**Barcelona**
**Competitive Salary + Benefits**:
**Introduction to Role**:
Join our Global Enterprise Architect (GEA) Team, where we support the integral development of AstraZeneca AI products and 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).
We provide vital designs, patterns, reference architecture and framework and services centred on the ingestion, extraction, processing, transformation, transport, storage, data visualization, data security and representation of knowledge.
We design the fundamental elements of the data world for AstraZeneca across our integral customer businesses.
**Accountabilities**:
As an Enterprise Data Architect, you will collaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases. You will align technical implementation with existing and future requirements by gathering inputs from multiple collaborators — business users, data scientists, security experts, data engineers and analysts, and those in IT operations — and developing processes and products based on the inputs. You will play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings.
**Essential Skills/Experience**:
- Bachelor’s Degree or equivalent number of years of experience in a Computer Science or Data Management related field
- Experience in the use of conceptual and logical data modelling technologies
- Experience in defining and working with Enterprise and data regulatory governances
- The role holder will possess a blend of data architecture /data design, analysis, and engineering skills
- Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies
- Understands Data Platforms concepts and cloud-based containerization strategies for hybrid cloud environments
- Understanding the appropriate data structure and technology based on business use case and completely familiar with data lifecycles
- Data visualization, data migration and data modelling
- Relational database management systems
**Desirable Skills/Experience**:
- Post-graduate degree in MIS, AI
- Extensive experience in a senior AI /data Science and Data Engineering and AI architecture role with practical examples of designing and providing end-to-end and point data architecture designs or blueprints that have been delivered and implemented for substantial real-world use cases
- Experience in Agile AI definition scrums
- Experience in the use of tooling, e.g. metadata cataloguing tools, data modelling tools, EA tools
- Hands on experience in AI model, building LLM and LVM working closely with different data type and generating clear accuracy models
- Experience of working in the AI Pharmaceutical industry
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions.
That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
**Why AstraZeneca?**
Exploring new ground-breaking technology. We enable AstraZeneca to perform at its peak by delivering world-class technology and data solutions. Our work unlocks the potential of science.
We optimise and evolve AstraZeneca by maximising efficiencies and finding new ways to drive productivity. From automation to data simplification. We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom.
**So, what’s next?**
Are you ready to bring new insights and fresh thinking to the table? Brilliant! Click the link to apply, and we’ll be in touch as soon as we can.
**Where can I find out more?