R&D Data, Analytics and AI Architecture Lead

Do you have a passion for shaping the future of AI and data architecture within the pharmaceutical industry? We are seeking an exceptional R&D Data, Analytics and AI Architecture Lead to drive strategic architecture decisions and shape the landscape of data, analytics, and AI within AstraZeneca's R&D area.

About the Role:  

As the R&D Data, Analytics and AI Architecture Lead, you will hold overall accountability for the architecture across the Data, Analytics, and AI landscape within the AstraZeneca R&D area. Your key responsibilities will include creating relevant strategies, roadmaps, principles, standards, and patterns while collaborating closely with projects to ensure adherence. You will partner with key R&D teams, IT Leadership teams, and other Architecture functions to develop the overall strategic position for the R&D Data, Analytics and AI landscape, aligned with R&D strategies and visions. In this pivotal role, you will serve as a change catalyst, proactively addressing and incorporating industry trends into AZ's vision. 

Accountabilities: 

• Lead a team of solution architects specializing in R&D domains such as omics, imaging, scientific knowledge graphs, and informatics. 

• Establish strong partnerships with R&D IT, R&D Data Office, Data Sciences, and AI organizations across R&D for all therapeutic areas. 

• Act as an authority to the architecture community and the business regarding strategic architecture decisions for R&D data, analytics, and AI. 

• Lead the development of Architecture Roadmaps and Blueprints within a 1-5-year horizon. 

• Ensure Data, Analytics, and AI Architectures are in alignment with global strategies and solutions. 

• Establish partnerships with key data and AI technology partners externally and refine architecture patterns, designs, and blueprints in partnership with Data, Analytics, and AI service/engineering teams. 
   

Essential Skills/Experience: 

• Bachelor’s or Master’s Degree in Computer Science or Data Management, or equivalent experience. 

• Extensive experience and knowledge of Data, Analytics, and AI solutions. 

• Proven ability to influence and deliver strategic vision, direction, and planning. 

• Blend of data architecture, analysis, and engineering skills with familiarity in cloud-based containerization strategies and AI Ops. 

• Understanding of appropriate data structure and technology based on business use cases. 

• Experience in known industry architectural patterns, data modeling technologies, and Agile data definition scrums. 

• Proficiency in metadata cataloguing tools. 
   

Desirable Skills/Experience: 

• Familiarity with Data Mesh architecture and practical examples of Data strategy definition and roadmap creation. 

• Extensive experience in designing and providing data engineering blueprints that have been pragmatically and implemented. 
   

Why Join Us: By joining our team, you will have the opportunity to shape the future of AI and data architecture within a global pharmaceutical leader. This role offers the chance to lead a team of specialized architects, influence strategic decisions, and drive innovation at the intersection of data, analytics, and AI.
 

Ready to be at the forefront of AI and data architecture in the pharmaceutical industry? Seize this opportunity to drive the future of AI at AstraZeneca and apply now. 
 

Join us in our mission to revolutionize the development of life-changing solutions through the power of AI and advanced data architecture. 

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.