AI / ML Advanced Analytics, Automation & Digital Agent CoE Lead
The AI / ML Advanced Analytics, Automation & Digital Agent CoE Lead is responsible for shaping and executing the AI and automation strategy across R&D. This role integrates advanced analytics, machine learning, intelligent automation, and digital agents to drive scientific and operational excellence. The leader oversees capability building, governance, technical standards, and external engagement to deliver innovation at scale while ensuring compliance and measurable business value.
Main Responsibilities & Accountabilities
- Define and implement integrated AI / ML and automation strategy across R&D, aligned with business priorities.
- Oversee development and deployment of advanced analytics models, automation tools, and digital agents to streamline R&D processes.
- Lead governance and establish standards for responsible AI, ML Ops, and automation toolkits.
- Collaborate with internal stakeholders (e.g., Digital Business Partners, I&T, lab owners) and external groups (e.g., TransCelerate, Pistoia Alliance) to identify, pilot, and scale impactful use cases.
- Develop talent, tools, and platforms through training, hackathons, guilds, and workshops.
- Ensure integration of automation and agentic solutions with data platforms and existing workflows.
- Track KPIs such as efficiency gains, accuracy improvements, and user adoption.
- Support audit readiness and ensure compliance with regulatory expectations for AI and automation
Qualifications & Experience Requirements
Bachelor's or Master's degree in Data Science, Engineering, Computer Science or related field.12+ years of leadership in AI / ML, automation, or advanced analytics within life sciences.Proven success in model development and / or digital agent deployment in R&D environments.Deep expertise in ML Ops, data science platforms, automation frameworks, and AI governance.Familiarity with scripting, middleware, and low / no-code tools for automation.Strong user-centered design approach and experience with change management.Knowledge of regulatory frameworks and compliance in AI-enabled systems.