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.