Cloud-Native Data Architect for AI/ML Platform

Allergan; Worcester (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Long-term incentive programs

Job summary

AbbVie seeks a Principal Data Architect to shape a cloud-native data foundation enabling predictive AI/ML in discovery science. You will own the architecture, adoption, and continuous improvement of a scalable data platform that connects lab data across assays and supports ML model development and deployment.

The role reports to the Head of AI/ML in BGM and is an IC path with potential for future people management, collaborating with wet labs, ML engineers, software engineers, data engineers,

Qualifications

• MS with 14+ years’ or PhD with 8+ years’ in machine learning, computer science, applied mathematics, data science, computational biology, or a closely related field.
• 6+ years of experience in data architecture after completion of graduate studies, with a track record of designing enterprise data platforms.
• Experience designing enterprise data platforms.
• Strong technical skills in data modeling, data integration, data storage solutions, data pipelines, and AI/ML integration.
• Production programming experience in SQL, Python, or Java.
• Experience building cloud data infrastructure on AWS, Azure, or GCP.
• Ability to work across wet lab and dry lab scientific workflows.
• Experience collaborating across functions and building stakeholder alignment.
• Strong communication and interpersonal skills.
• Ability to apply data governance principles in day‑to‑day decision‑making.
• Experience in the pharmaceutical or biotechnology industry.

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.

Skills

Machine learning

Data architecture

Data modeling

Data integration

Data pipelines

AI/ML integration

SQL

Python

Java

Cloud data platforms

Cross-functional collaboration

Communication

Data governance

Biotech/pharma experience

Education

MS in computer science, data science, or related field

PhD in related field (optional)

Tools

AWS

Azure

GCP

Job description

AbbVie seeks a Principal Data Architect to shape a cloud-native data foundation enabling predictive AI/ML in discovery science. You will own the architecture, adoption, and continuous improvement of a scalable data platform that connects lab data across assays and supports ML model development and deployment.

The role reports to the Head of AI/ML in BGM and is an IC path with potential for future people management, collaborating with wet labs, ML engineers, software engineers, data engineers,