Senior Manager, AI-Driven eQMS Analytics

Allergan; North Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Job summary

AbbVie is hiring a Senior Manager for eQMS Technologies to enable data-driven quality decisions across the enterprise. You will develop analytics, AI insights, and dashboards in collaboration with Quality, BTS, and process owners, supporting global regulatory compliance and risk management.

Responsibilities include building KPI frameworks, governing data quality, and enabling self-service analytics while ensuring compliant use of data and models in regulated environments.

Qualifications

• Bachelor’s degree in a relevant field.
• 5–7 years of experience in quality systems, engineering, data/analytics, or business support in a regulated environment.
• Experience developing metrics, dashboards, and analytical insights for process performance and compliance monitoring.
• Knowledge of data fundamentals and analytical methods.

Responsibilities

• Support development and execution of quality analytics and AI roadmaps.
• Build and maintain automated reporting, dashboards, and KPI frameworks for QA and eQMS health.
• Develop analytics capabilities to identify quality and compliance risks earlier.
• Translate business needs into analytics requirements and data products.
• Establish data definitions, quality controls, and governance for key datasets.
• Enable self-service dashboards through training and documentation.
• Review and approve SLC documentation for data/model use in regulated environments.
• Assess adoption and performance of analytics solutions to drive improvement.

Skills

Quality analytics

Dashboards

Data governance

Data modeling

SQL

Python

Machine learning

Regulatory compliance

BI tooling

Education

Bachelor’s Degree in Pharmacy, Engineering, Computer Science, Data/Analytics, Business, Chemistry, Biology, Microbiology

Tools

Power BI

SQL

Python

R

Job description

AbbVie is hiring a Senior Manager for eQMS Technologies to enable data-driven quality decisions across the enterprise. You will develop analytics, AI insights, and dashboards in collaboration with Quality, BTS, and process owners, supporting global regulatory compliance and risk management.

Responsibilities include building KPI frameworks, governing data quality, and enabling self-service analytics while ensuring compliant use of data and models in regulated environments.