AI Design & Data Acceleration Manager

AbbVie; California; On-site; USD 150,000 - 210,000; Full time

Job summary

AbbVie is seeking a Manager, Design Intelligence & AI Catalyst to build, deploy, and maintain M&S and AI solutions within Data & Statistical Sciences. You will contribute to the DAIA team and advance R packages, dashboards, and agentic AI frameworks to empower data-driven decisions.

The role requires advanced quantitative education and 5–7 years of experience with R, dashboards, and AI tooling, plus collaboration, software engineering practices, and production-ready delivery.

Qualifications

• Master's degree (or PhD) in a quantitative field with 2+ years of experience (PhD route).
• 5–7 years of experience with a Master’s degree; strong R development background.
• Strong hands-on development experience in R.
• Experience building interactive dashboards and data applications.
• Experience with agentic AI development (tool-use agents, orchestration frameworks).
• Good statistical knowledge for analytical rigor.
• Familiarity with clinical development processes and trial concepts.
• Software engineering practices (version control, testing, CI/CD).
• Excellent communication and stakeholder collaboration abilities.

Responsibilities

• Develop and maintain M&S and AI solutions from R packages to agentic AI frameworks.
• Build tools addressing adoption gaps and end-user needs.
• Assess feasibility and architect design with clear rationale for deterministic vs. AI approaches.
• Create benchmark test sets to ensure output quality and reproducibility.
• Maintain and iterate deployed tools based on user feedback and evolving requirements.
• Translate requirements into production-ready solutions through stakeholder collaboration.

Skills

R programming

Dashboard development

Agentic AI

Statistics

Clinical development

CI/CD

Communication

Education

Master's degree in quantitative field

Tools

R packages

Dashboards

Agentic AI frameworks

Job description

AbbVie is seeking a Manager, Design Intelligence & AI Catalyst to build, deploy, and maintain M&S and AI solutions within Data & Statistical Sciences. You will contribute to the DAIA team and advance R packages, dashboards, and agentic AI frameworks to empower data-driven decisions.

The role requires advanced quantitative education and 5–7 years of experience with R, dashboards, and AI tooling, plus collaboration, software engineering practices, and production-ready delivery.