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.
Job DescriptionPurpose
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 comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Skills Required
- Bachelor's Degree in Pharmacy, Engineering, Computer Science, Data/Analytics, Business, Chemistry, Biology, Microbiology, or relevant field
- 5-7 years 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)
- Experience with BI and analytics tooling (e.g., Power BI or similar) and query languages (SQL); scripting/analysis in Python, R or similar
- Experience applying machine learning/AI techniques to operational quality problems 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 Risk Management principles to prioritize impactful activities
- Quality Systems knowledge and related experience
- Travel up to 10% of the time
AbbVie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.
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Retirement Support — Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
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Parental & Family Support — Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
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Leave & Time Off Breadth — Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.
AbbVie Insights
What We Do
AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.









