Senior Manager, eQMS Technologies

Company Description

Abb Vie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at  Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In and Tik Tok.

Abb Vie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at  Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In and Tik Tok.

The Senior Manager – eQMS (electronic Quality Management System) Technologies is responsible for enabling data-driven quality and compliance decisions across the enterprise by developing and deploying advanced analytics, AI-enabled insights, and measurement solutions. This role partners with Quality, Business Technology Services (BTS), and process owners to define and execute the quality data strategy, improve data quality and accessibility, and deliver dashboards, metrics, and advanced analytics/AI that support continuous improvement, and global regulatory compliance.

The position helps ensure effective quality insights and services are in place across R&D to support more informed decision making, and proactive risk management in accordance with applicable policies, processes, procedures, and global regulatory requirements.

• Support the development and execution of quality analytics and AI roadmaps aligned with RDQA, R&D, and Enterprise Quality priorities.
• Build and maintain automated reporting, dashboards, and KPI frameworks to monitor quality processes and eQMS health, performance, and compliance.
• Develop advanced analytics and AI capabilities (e.g., trend, anomaly, and predictive risk signals) to identify quality and compliance risks earlier.
• Partner with process owners and BTS to translate business needs into analytics requirements, data products, and insight-driven actions.
• Establish data definitions, quality controls, and governance for key quality datasets and metrics.
• Enable self-service use of dashboards and insights through training, playbooks, and documentation.
• Review and approve SLC documentation to support compliant use of data and models in regulated environments.
• Assess the adoption, impact, and performance of analytics solutions; apply feedback, statistical methods, root cause analysis, and data storytelling to drive continuous improvement.

• Required:
• Bachelor’s Degree in Pharmacy, Engineering, Computer Science, Data/Analytics, Business, Chemistry, Biology, Microbiology, or relevant course of study
• 5–7 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 (data modeling, data quality, governance) and analytical methods (descriptive/inferential statistics, trend analysis)
• Preferred:
• Experience with BI and analytics tooling (e.g., Power BI or similar) and query languages (SQL); scripting/analysis in Python, R or similar is a plus
• Experience applying machine learning/AI techniques to operational quality problems (e.g., risk prediction, signal detection, text analytics) and understanding of model lifecycle considerations (monitoring, bias, drift)
• Experience implementing or enhancing computerized QA/eQMS solutions with a focus on data enablement and insights
• Knowledge of tools and techniques that can be leveraged into actionable activities and influence decision making
• Knowledge of Risk…