This role pays less than
88%
of similar roles. Most pay
$170,000–$229,962
— the shaded band above.
At the midpoint, this role pays about
$159k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About AbbVie
AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.
AbbVie currently has
238 open roles
on FindRole.
Listed pay typically runs
$109,500–$208,500
across 220 roles with salary data.
The Manager, eQMS Technologies supports data-driven quality and compliance decisions by advancing analytics, AI-enabled insights, measurement solutions, and electronic quality management system capabilities across RDQA, R&D, and Enterprise Quality. In this role, you will build and maintain automated reporting, dashboards, KPI frameworks, and eQMS health metrics to monitor process performance. You will develop advanced analytics and AI capabilities, including trend, anomaly, and predictive risk signals to identify compliance risks early. Key responsibilities include establishing data definitions, quality controls, and governance for key datasets while ensuring systems remain fit-for-purpose in regulated environments. The role requires expertise in data modeling, inferential statistics, and query languages like SQL, with preferred experience in Power BI, Python, or R. You will apply machine learning techniques to operational quality problems to solve complex regulatory compliance and risk management challenges.
Develop and execute quality analytics and AI roadmaps aligned with RDQA and Enterprise Quality priorities.
Build and maintain automated reporting, dashboards, KPI frameworks, and eQMS health metrics to monitor performance.
Create advanced analytics and AI capabilities to identify trend, anomaly, and predictive risk signals.
Translate business needs into technical requirements for data products and insight-driven actions.
Establish data definitions, quality controls, and governance for key quality datasets and metrics.
Enable self-service reporting through training, playbooks, and documentation for end users.
Review and approve SLC documentation to ensure compliant use of data in regulated environments.
Manage eQMS system health, including release coordination, issue escalation, and user access support.
What we're looking for
Bachelor’s Degree in Pharmacy, Engineering, Computer Science, Data/Analytics, Business, or a relevant course of study.
4–6 years of experience in quality systems, engineering, data/analytics, or business support in a regulated environment.
Demonstrated experience developing metrics, dashboards, and analytical insights for process performance and compliance monitoring.
Working knowledge of data fundamentals including modeling, quality, governance, and analytical methods like descriptive/inferential statistics and trend analysis.
Experience with BI and analytics tooling (e.g., Power BI), query languages (SQL), and scripting in Python or R (preferred).
Experience applying machine learning/AI techniques to operational quality problems and understanding of model lifecycle considerations (preferred).
Experience implementing or enhancing computerized QA/eQMS solutions with a focus on data enablement and insights (preferred).
Knowledge of Risk Management principles, Quality Systems, and tools for actionable decision making (preferred).