Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVie’s R&D, is a global organization that is responsible for discovering and optimizing drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA etc.) for all therapeutic areas across discovery. 

Position overview: 

The Principal Data Architect is a visionary leader in the development and success of our cloud-native data platform, which supports the development and integration of predictive and generative machine learning solutions in drug discovery scientist workflows. This role requires a strong ability to see both the big picture and the details, and to work cross-functionally with both wet lab scientists, ML engineers, software engineers, data engineers, and data infrastructure engineers, among others. 

This position reports to the Head of AI/ML in Biotherapeutics and Genetic Medicine (BGM) and will serve as a trusted advisor to senior leadership. This role is pivotal in driving our organization towards becoming a leader in the application of artificial intelligence, ensuring that AI and ML initiatives are built on a robust, resilient, and scalable data foundation that grows with the organization.  

Key responsibilities:  

• Drive the vision, execution, implementation, adoption, and continuous improvement of a robust, scalable data platform as the foundation for the execution of AbbVie’s AI/ML strategy, particularly within BGM. 
• Define data models and architectures that collect, store, structure, access, and connect datasets generated across a dozen different lab groups, enabling downstream uses (ML model development, operational reports, lab documentation, etc.). 
• Collaborate closely with wet lab scientists, especially the Head of Lab Data Products, and automation engineers to maximize the utility of data captured by lab automation workflows. 
• Collaborate closely with data scientists, and deployment engineers, to ensure data pipelines support both machine learning model development and deployment into production.  
• Co-develop and execute a strategy that maximizes FAIR-fication of BGM data and in concert with wider BGM strategic goals.  
• Communicate the impact of a robust data platform to AbbVie’s drug pipeline, using both user stories and KPIs that allow measurement of the value added. 
• Multiply impact of the data platform by championing and communicating the principles behind connected data, data stewardship, data-as-a-product, and cloud-first and cloud-native architectures. 
• Collaborate with data infrastructure and data governance experts across AbbVie to ensure that data governance principles and policy are optimally implemented.  
• Ensure alignment and coordination of data infrastructure initiatives with existing AbbVie initiatives such as Convergence, and ARCH.