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

Artificial Intelligence

Taplow

On-site

GBP 90,000 - 130,000

Full time

Today
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Job summary

A global technology company is seeking an experienced AI/ML Advanced Analytics, Automation & Digital Agent CoE Lead to shape and execute strategies across R&D. This role involves integrating advanced analytics, machine learning, and automation to enhance scientific and operational processes. Candidates should have significant leadership experience, particularly in the life sciences, and a strong understanding of model development and regulatory compliance. The position offers a chance to drive innovation while ensuring compliance and delivering measurable business value.

Qualifications

  • 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, and AI governance.

Responsibilities

  • Define and implement integrated AI/ML and automation strategy across R&D.
  • Oversee development and deployment of advanced analytics models and automation tools.
  • Lead governance and establish standards for responsible AI and ML Ops.

Skills

AI/ML leadership
Automation expertise
Regulatory compliance knowledge
User-centered design
Change management

Education

Bachelor's or Master's degree in Data Science, Engineering, Computer Science

Tools

Data science platforms
ML Ops tools
Automation frameworks
Scripting tools
Job description

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.

Responsibilities
  • 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.
Qualifications
  • Support audit readiness and ensure compliance with regulatory expectations for AI and automation.
  • 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.
Company Overview

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.

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