Executive Director, R&D Advanced Analytics, Automation, and AI Lead

The Position:

The R&D Advanced Analytics, Automation, and AI Lead is responsible for executing the R&D digital acceleration roadmap, focusing on delivering business value through advanced and emerging technologies. This role collaborates closely with I&T to oversee the design, development, and deployment of analytics, automation, and AI/ML solutions across the R&D value chain. The leader partners with RDLT, TES LT, I&T, and external innovation ecosystems to identify and apply disruptive technologies that enable measurable transformation. Acting as a strategic bridge between R&D and I&T, this role ensures digital acceleration initiatives are technically robust, operationally impactful, and aligned with enterprise architecture and capabilities.

Responsibilities:

• Lead the development and execution of the R&D digital acceleration roadmap focused on automation, AI, and advanced analytics.
• Identify disruptive technologies and use cases (e.g., generative AI, intelligent automation, simulation, digital twins).
• Partner with business stakeholders to develop scalable, production-ready digital solutions.
• Lead agile teams to develop models, tools, and platforms aligned with R&D needs.
• Drive rapid experimentation and innovation, ensuring feasibility, compliance, and user adoption.
• Establish metrics to measure the impact of digital interventions on cycle times, quality, and outcomes.
• Oversee partnerships with AI/ML vendors, academic collaborators, and industry consortia.
• Build internal capabilities and talent pipelines for digital and analytics functions.
• Ensure that all AI, automation, and advanced analytics solutions are implemented in a compliant manner, supporting readiness for regulatory audits and inspections involving emerging technologies.
• Provide thought leadership in AI, including the development and implementation of AI governance frameworks, ethical AI practices, and active engagement with industry consortia such as Pistoia Alliance, CIOMS, TransCelerate, and other relevant forums to shape standards and best practices.

Education & Requirements:

• Master's or PhD in Data Science, Engineering, Computer Science, or related fields.
• 15+ years of experience in digital leadership or advanced analytics/AI roles within R&D-driven pharmaceutical industry.
• Deep knowledge of life sciences and experience applying AI/ML and automation in scientific or regulatory domains.
• Demonstrated ability to deliver AI-enabled tools in regulated environments.
• Strong cross-functional collaboration and change leadership skills.
• Expertise in digital product lifecycle, from experimentation to scale.
• Experience supporting regulatory audits and inspections involving emerging technologies, including AI and automation, in a GxP or highly regulated environment.

Our Benefits

CSL employees working at least 30 hours per week are eligible for benefits effective day 1. We are committed to employee wellbeing, offering resources and benefits from healthcare to financial protection. Our benefits support employees at every life stage, from starting a family to planning for the future or supporting charities. Please review our benefits site for details.

About CSL Behring

CSL Behring is a global leader in medicines for rare and serious diseases, serving over 100 countries in areas like immunology, hematology, cardiovascular, respiratory, and transplant. Learn more about CSL Behring.

We value inclusion and belonging, fostering a culture of curiosity and empathy to better serve our patients and stakeholders. Learn more at Inclusion and Belonging | CSL.

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