Senior Manager, eQMS Analytics & AI for Quality

AbbVie; North Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

AbbVie is seeking a Senior Manager – eQMS Technologies to lead data-driven quality and compliance initiatives across the enterprise. You will develop analytics, AI-enabled insights, and dashboards to support global regulatory requirements and continuous improvement in R&D and manufacturing processes.

The role partners with Quality, BTS, and process owners to improve data quality, accessibility, and governance, enabling self-service insights and proactive risk management.

Qualifications

• Bachelor’s Degree in Pharmacy, Engineering, Computer Science, Data/Analytics, Business, Chemistry, Biology, Microbiology, or related field.
• 5–7 years of experience in quality systems, engineering, data/analytics, or business support in a regulated environment.
• Experience building metrics, dashboards, and insights for process performance and compliance.

Responsibilities

• Support quality analytics and AI roadmaps aligned with RDQA, R&D, and Enterprise Quality priorities.
• Build and maintain automated reporting, dashboards, and KPI frameworks for eQMS health and compliance.
• Develop analytics capabilities to identify quality risks earlier and support data-driven decisions.
• Collaborate with process owners and BTS to translate business needs into analytics requirements.
• Define data definitions, quality controls, and governance for key datasets.
• Enable self-service dashboards through training and documentation.
• Review and approve SLC documentation for compliant data and models.
• Assess analytics impact and apply statistical methods to drive improvement.

Skills

Quality analytics

Dashboards

Data governance

Descriptive statistics

Trend analysis

Education

Bachelor’s Degree in a relevant field

Tools

Power BI

SQL

Python

R

Job description

AbbVie is seeking a Senior Manager – eQMS Technologies to lead data-driven quality and compliance initiatives across the enterprise. You will develop analytics, AI-enabled insights, and dashboards to support global regulatory requirements and continuous improvement in R&D and manufacturing processes.

The role partners with Quality, BTS, and process owners to improve data quality, accessibility, and governance, enabling self-service insights and proactive risk management.