Senior Director, AI/ML/Advanced Analytics, Automation & Digital Agent CoE

• 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
  
  

Our Benefits CSL employees that work at least 30 hours per week are eligible for benefits effective day 1. We are committed to the wellbeing of our employees and their loved ones. CSL offers resources and benefits, from health care to financial protection, so you can focus on doing work that matters. Our benefits are designed to support the needs of our employees at every stage of their life. Whether you are considering starting a family, need help paying for emergency back up care or summer camp, looking for mental health resources, planning for your financial future, or supporting your favorite charity with a matching contribution, CSL has many benefits to help achieve your goals.Please take the time to review our to see what's available to you as a CSL employee.

About CSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients' needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.CSL Behring operates one of the world's largest plasma collection networks, . Our parent company headquartered in Melbourne, Australia, employs 32,000 people, and delivers its lifesaving therapies to people in more than 100 countries.

We want CSL to reflect the world around us At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future. Learn more .

Do work that matters at CSL Behring! 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 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.