Senior Manager, eQMS Technologies

AbbVie'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 AbbVie, please visit us at  www.abbvie.com . Follow @abbvie on  X ,  Facebook ,  Instagram ,  YouTube ,  LinkedIn  and  Tik Tok . Purpose  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.  Responsibilities  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 Management principles to help organization focus on the most impactful activities  Quality Systems knowledge and related experience  Travel: Yes, 10 % of the Time  Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​ The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​ We offer a compre