Senior Director, R&D Quality Transformation and Data Science

Role Summary

The Sr Director, R&D Quality Transformation and Data Science is an enterprise leader driving transformation across R&D Quality Assurance, integrating digital, analytics (including AI/ML), and operational best practices. This role sets the strategic vision for optimizing quality processes, data science, and AI, building insights from the Quality Beyond Compliance diagnostic survey and other organizational feedback to elevate quality culture, streamline ways of working, and accelerate innovation. This position is suited for a transformative leader passionate about shaping R&D QA’s future—not just through technology and data science, but through operational excellence and a commitment to quality culture informed by stakeholder insights. The role reports directly to the Vice President of R&D Quality Assurance and is a member of the R&D Quality Leadership Team. They are expected to role model performance, leadership, and behaviors (AbbVie’s Ways We Work) for the wider organization.

Responsibilities

• Develop, own, and continuously evolve the long-term strategy and roadmap for R&D QA transformation—including advanced analytics, AI/ML, process optimization, and operational excellence—anchored to organization-wide priorities, regulatory requirements, and diagnostic insights.
• Evaluate and translate survey and diagnostic findings into prioritized change initiatives addressing root causes and opportunities for improvement in both quality culture and business operations.
• Lead high-performing, multi-layered global matrixed teams (senior leaders, directors, managers, and technical experts) to deliver advanced analytics, enable digital transformation, and reimagine processes across the R&D QA landscape.
• Champion investments and adoption of new technologies, platforms, and operating models that drive operational efficiency, data-driven decision making, and sustained quality improvement.
• Oversee alignment and execution of cross-functional, enterprise-level analytics and transformation projects, including resource planning, budget ownership, measurable outcomes, and ongoing stakeholder engagement.
• Set policy and governance for data quality, analytics compliance, AI/ML usage, and change management, ensuring all enhancements meet regulatory and business standards.
• Advise senior leaders on risks, impacts, and opportunities related to QA transformation, digital strategies, and emerging regulatory trends.
• Build partnerships across IT, R&D, Regulatory, and Business functions—promoting a culture of innovation, collaboration, and transparency.
• Represent R&D QA internally and externally, advancing quality analytics, process excellence, and talent development.
• Promote continuous learning, diversity, and upskilling to support evolving business and digital needs.

Qualifications

• Advanced degree in Data Science, Engineering, Quality, Business, Life Sciences, or related discipline.
• 12+ years progressive leadership in data science, analytics, AI/ML, process transformation, or operational excellence within life sciences or regulated industries, including leadership of large, multi-disciplinary global teams.
• 15+ years industry experience across pharmaceutical, medical device, combination products, research, development, clinical operations, manufacturing, quality systems, or comparable experiences.
• Demonstrated success leading large-scale, enterprise transformation initiatives leveraging advanced analytics, digital/AI/ML technologies, and survey-driven insights to impact quality and business outcomes.
• Deep expertise in R&D quality systems, global compliance, process optimization, and digital innovation in regulated environments.
• Strong executive presence, strategic vision, budget/resource management, and proven ability to lead and influence cross-functional teams.
• Outstanding communication, change leadership, and stakeholder management skills.
• Track record of delivering measurable business impact through process, digital, and analytics innovation.