R&D Data Architect

The R&D Data Architect is accountable for designing the overall R&D architecture for data, integration, automation and AI as well as being the interface between R&D and other enterprise I&T functions. This is a key role as R&D transforms into a Product operating model and drives insight from its data with increasing speed and innovation. R&D data architecture City PlanEnd-to-end data flow models for key R&D data entities, detailing how data are generated, ingested and flow across operational and business applications, including a blueprint that enables the execution of data productsComprehensive data architectural documentation, roadmaps and reference patternsIntegration and platform data architecture designsAutomation and AI data architecture designsConceptual, logical, canonical, and semantic data models across R&D domains, in partnership with relevant stakeholders Skills & ExperienceBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical fieldProven track record of creating integration patterns, data flow models, enterprise data models and cloud-native data architecturesImplementation experience delivering data products, integrations, semantic layers8+ years of experience in data architecture, with at least 3 years in an R&D biotech or pharma environmentExperience with R&D platforms in biotech or pharma including knowledge of clinical system data flow and data product consumption modelsData aggregator vendor landscape awareness and working experienceProfessional experience and knowledge of best practice in data modelling techniquesHigh learning agility with strong motivation to maintain leading edge data architecture knowledge and capabilityExcellent communication and leadership skills, with the ability to engage cross-functional teams and communicate complex data architectural concepts clearlyDecisive, focused on priorities, demonstrating high engagement levels and the ability to communicate upwards with no surprisesDesirable to bring experience working with knowledge graphs and semantic and logic layers, as well as knowledge of TOGAFAbout CSL Behring To learn more about CSL, CSL Behring, CSL Seqirus and CSL Vifor visit https://www.csl.com/ and CSL Plasma at https://www.cslplasma.com/. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future.