The Position:
The R&D Advanced Analytics, Automation, and AI Lead is responsible for executing the R&D digital acceleration roadmap, with a primary focus on delivering business value through advanced and emerging technologies. In close collaboration with I&T, this role oversees 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 fully 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
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