Associate Director, R&D Quality Data Science & Insights

Company Description

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 Description

The Associate Director – R&D Quality Data Science & Insights is a pivotal leader dedicated to advancing data-driven transformation within R&D Quality Assurance. This role is accountable for architecting and delivering high-impact data and analytics strategies that unlock actionable quality insights, enable agile risk management, and drive operational excellence and innovation across research and development.

Responsibilities:

• Lead the strategic design, development and implementation of analytic tools and data science initiatives in alignment with R&D QA strategic priorities. 
• Develop and deploy advanced analytic and AI-powered solutions to enable proactive risk management and continuous improvement, utilizing analytical tools and AI methods for process optimization and innovation, and formulating strategies to enhance analytics and AI capabilities across R&D QA.
• Sponsor technical projects, providing expert guidance on analytics architecture, AI integration, and digital transformation.
• Review and approve technical documentation to ensure compliance and data integrity. 
• Develop, deliver, and continuously update training programs to drive system and analytics adoption among end users and stakeholders.
• Partner with business units to drive and maximize effective use of advanced analytic systems, focusing on analytical and AI-driven enhancements.
• Lead and prioritize remediation of technical and process-related issues, leveraging analytic methodologies to identify and resolve root causes.
• Collaborate with internal and external partners to optimize and integrate quality processes, including AI and data management within electronic quality managemen