4 дня назад
Senior Manager, eQMS Technologies (AI)
124 500 - 236 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, eQMS Technologies (AI): Developing analytics, AI-enabled insights, dashboards, and measurement solutions for electronic quality management systems with an accent on data quality, governance, compliance, and risk detection. Focus on building predictive quality signals, establishing KPI frameworks, and enabling regulated decision-making across R&D.
Location: North Chicago, Illinois, United States. Travel required up to 10% of the time.
Salary: $124,500–$236,500 per year, plus benefits and eligibility for short-term incentive programs.
Company
develops medicines and healthcare solutions across immunology, oncology, neuroscience, eye care, and aesthetics.
What you will do
- Develop and execute quality analytics and AI roadmaps aligned with R&D and enterprise quality priorities.
- Build automated reporting, dashboards, KPI frameworks, and analytics for eQMS health, process performance, and compliance.
- Develop trend, anomaly detection, and predictive risk signals to identify quality and compliance issues earlier.
- Partner with quality, BTS, and process owners to translate business needs into analytics requirements and data products.
- Establish data definitions, quality controls, governance, training, playbooks, and documentation for self-service insights.
- Assess solution adoption and impact using statistical methods, root cause analysis, feedback, and data storytelling.
Requirements
- Bachelor’s degree in pharmacy, engineering, computer science, data or analytics, business, chemistry, biology, microbiology, or a related field.
- 5–7 years of experience in quality systems, engineering, data and analytics, or business support in a regulated environment.
- Experience developing metrics, dashboards, and analytical insights for process performance and compliance monitoring.
- Working knowledge of data modeling, data quality, governance, descriptive and inferential statistics, and trend analysis.
- Experience with computerized QA or eQMS solutions and data enablement is preferred.
Nice to have
- Experience with Power BI or similar BI tools and SQL.
- Python, R, or similar scripting and analysis experience.
- Experience applying machine learning or AI to risk prediction, signal detection, or text analytics.
- Knowledge of model lifecycle monitoring, bias, drift, risk management, and quality systems.
Culture & Benefits
- Work supports global regulatory compliance and informed decision-making across R&D.
- Benefits include paid vacation, holidays, sick leave, medical, dental, and vision insurance.
- Eligible employees receive access to a 401(k) plan and short-term incentive programs.
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