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AI Transformation Lead

at Thermo Fisher Scientific

Thermo Fisher ScientificShanghai, ChinaPosted 2026-06-25
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Job description

Work ScheduleStandard (Mon-Fri)Environmental ConditionsOfficeJob DescriptionAbout Thermo Fisher ScientificAs 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 SummaryWe 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 ResponsibilitiesLead AI TransformationDevelop 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 LeadersAct 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 AdoptionDrive 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 InnovationContinuously 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.QualificationsRequiredBachelor'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.PreferredExperience 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 LikeWithin 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 casesBuild 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
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