Director, AI-Driven Process Improvement

Director, AI-Driven Process Improvement

Full-Time 81000 - 99000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead AI-driven process improvements and foster a culture of continuous enhancement.
  • Company: Join Thermofisher Scientific, a leader in scientific innovation.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and excellence.
  • Why this job: Make a significant impact by driving AI and automation initiatives.
  • Qualifications: Proven leadership experience in AI, digital transformation, and process improvement.

The predicted salary is between 81000 - 99000 Β£ per year.

Thermofisher Scientific is seeking a senior leader to drive the deployment and maturity of the PPI Business System across Customer Channels Group, embedding a culture of continuous improvement. The role partners with IT, Digital, Data, Analytics, and AI teams to translate priorities into measurable outcomes across productivity, customer experience, and growth. You will lead the business-side AI and automation agenda, coach leaders, and ensure disciplined governance of AI and digital productivity.

Director, AI-Driven Process Improvement employer: Thermofisher Scientific

Thermo Fisher Scientific is an exceptional employer, offering a supportive work culture that values teamwork and innovation in the heart of Newport, Wales. Employees benefit from comprehensive training programs and opportunities for career advancement, ensuring personal and professional growth within a dynamic environment. With a commitment to Good Manufacturing Practices, you will be part of a team that plays a crucial role in delivering high-quality products while enjoying a flexible work schedule.

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Contact Details:

Thermofisher Scientific Recruitment Team

We think you need these skills to ace Director, AI-Driven Process Improvement

Leadership
Continuous Improvement
AI and Automation
Collaboration with IT and Digital Teams
Data Analytics
Measurable Outcomes
Customer Experience Enhancement