Position overview: 

Biotherapeutics and Genetic Medicine (BGM) sits within AbbVie’s Discovery Research organization and supports discovery and optimization across biotherapeutic and genetic medicine modalities, including monoclonal antibodies, multispecifics, proteins, conjugates, AAV, LNPs, and siRNA.  

The Principal Data Architect will shape the cloud-native data foundation that enables predictive and generative AI/ML solutions in discovery scientist workflows. This role owns the architecture, adoption, and continuous improvement of a scalable data platform that connects laboratory data across dozens of assays, supports machine learning development and deployment, and improves how scientific data is used across the organization.  

The position reports to the Head of AI/ML in BGM and serves as a trusted advisor to senior leadership. This is a technical leadership role on the individual contributor track, with potential to expand into people management in the future. It requires close partnership with wet lab scientists, ML engineers, software engineers, data engineers, automation teams, and data governance partners. The role is central to building a robust, resilient, and scalable data foundation for BGM’s AI/ML strategy. 

Responsibilities

• Define and drive the architecture for a scalable, cloud-native data platform that supports AbbVie’s AI/ML strategy in BGM. 
• Design data models and integration patterns that connect datasets generated across multiple lab groups and establish certified datasets for downstream scientific, operational, and machine learning use. 
• Partner with wet lab scientists and automation engineers to maximize the value of data captured through lab automation workflows. 
• Work with data scientists and deployment engineers to ensure data pipelines support both model development and production deployment. 
• Advance FAIR data practices and data stewardship in alignment with BGM strategic priorities. 
• Champion connected data, data-as-a-product, and cloud-first architecture principles across the organization. 
• Partner with data infrastructure and governance experts to ensure data policies are implemented effectively. 
• Align BGM data infrastructure initiatives with broader AbbVie efforts such as Convergence and ARCH. 
• Communicate platform impact through user stories, metrics, and KPIs that show the value of the data platform to AbbVie’s therapeutic program pipeline.