AI Transformation Lead

Work Schedule

Environmental Conditions

Job Description

About Thermo Fisher Scientific

As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every day to enable our customers to make the world healthier, cleaner, and safer. With the support of world-class resources, you'll have the opportunity to help transform the way we work through innovative AI solutions while advancing scientific discovery and customer success.

Position Summary

We are seeking a passionate and business-oriented AI Transformation Lead to drive AI-enabled business transformation across Thermo Fisher China.

This role is not a technical AI engineering position. Instead, you will serve as the bridge between business and technology, helping business leaders identify high-value AI opportunities, shape transformation roadmaps, lead enterprise-wide AI programs, and accelerate organization-wide AI adoption.

Success in this role requires strong transformation leadership, executive communication, influence without authority, and a genuine passion for how AI can fundamentally change the way people work.

Key Responsibilities

Lead AI Transformation

• Develop and execute the China AI transformation roadmap aligned with business priorities and company strategy.
• Identify high-value AI opportunities across commercial, customer service, operations, manufacturing, supply chain, and corporate functions.
• Translate business challenges into practical AI transformation initiatives with measurable business outcomes.
• Lead large, cross-functional AI transformation initiatives from ideation through deployment and business adoption.

Partner with Business Leaders

• Act as a trusted advisor to senior business leaders on AI opportunities and transformation strategies.
• Facilitate AI ideation workshops and business process redesign sessions.
• Help business teams prioritize AI investments based on strategic value, feasibility, and organizational readiness.

Accelerate AI Adoption

• Drive organizational change management to maximize AI adoption and employee engagement.
• Develop AI awareness programs, executive briefings, workshops, and internal success stories.
• Promote an AI-first mindset and foster a culture of innovation and continuous learning.

Stay Ahead of AI Innovation

• Continuously monitor emerging AI technologies, industry trends, and market best practices.
• Evaluate new AI capabilities and recommend how they can create business value.
• Collaborate with Global Digital and local business teams to bring innovative AI solutions into the organization.

Qualifications

Required

• Bachelor's degree in Business, Information Technology, Engineering, Computer Science, or a related discipline.
• 8+ years of experience leading enterprise transformation, digital transformation, strategic consulting, or large cross-functional programs.
• Demonstrated success leading complex transformation initiatives involving multiple business functions and executive stakeholders.
• Outstanding presentation, communication, and storytelling skills with the ability to influence senior leadership.
• Strong stakeholder management skills and experience working effectively in matrix organizations.
• Good understanding of enterprise AI, Generative AI, AI agents, automation, and current AI technology trends.
• Passion for AI and a strong belief in its ability to transform business processes, employee productivity, and customer experience.

Preferred

• Experience in management consulting or business transformation consulting.
• Experience working with AI use cases such as Generative AI, intelligent automation, knowledge management, analytics, or decision intelligence.
• Experience in healthcare, life sciences, or other highly regulated industries.

What Success Looks Like

Within the first 12 months, you will:

• Establish a clear AI transformation roadmap for Thermo Fisher China.
• Idendify and start 2 to 3 significant organizational impact use cases
• Build strong executive engagement and sponsorship for AI transformation.
• Increase AI adoption across business functions through effective change management.
• Foster an AI-first culture where employees actively embrace AI to improve productivity and innovation.
• h-performing teams