R&d Data, Analytics and Ai Architecture Lead
hace 3 meses
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.
Join us in our mission to revolutionize the development of life-changing solutions through the power of AI and advanced data architecture.
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