Manager, Digital & AI Integration

Thermo Fisher Scientific • Greenville, NC

1d

About The Position

The Manager, Digital & AI Integration serves as the site lead for data-driven, digital, and AI-enabled solutions that improve operational performance within a drug product CDMO environment. Operating within a highly matrixed global organization, this role bridges enterprise digital strategy and site-level execution to deliver practical, scalable solutions that enhance manufacturing, quality, laboratory, and supply chain workflows. Acting as the site’s digital and AI champion, the role combines business analysis, hands-on technical capability, and change leadership to translate operational challenges into actionable solutions. By leveraging data from enterprise and manufacturing systems, the role develops analytics, visualization, and AI-enabled capabilities that improve visibility, decision-making, and execution, supporting consistent, compliant operations and reliable delivery to clients. The role partners closely with system owners, IT/OT, and global Digital/AI teams across the PSG network to ensure alignment with enterprise platforms, standards, and governance. Solutions are designed to be compliant, sustainable, and scalable, avoiding duplication and reinforcing a consistent approach across sites.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Life Sciences, or a related field
• Experience in digital transformation, data analytics, or IT/OT-enabled solutions within a pharmaceutical, biotech, manufacturing, or CDMO environment.
• Strong technical capability, including experience working with enterprise systems such as MES, ERP, and LIMS, as well as hands-on experience with data analytics, integration, and AI-enabled solutions.
• Working understanding of manufacturing, quality, or supply chain processes in a regulated (GxP) environment
• Ability to operate effectively in a matrixed organization and collaborate across technical and business stakeholders.

Nice To Haves

• Familiarity with tools such as SQL, Python, Power BI, or similar technologies, particularly where applied to solving operational problems.

Responsibilities

• Identifying and solving operational challenges through the practical application of digital, analytics, and AI capabilities across manufacturing, quality, laboratory, and supply chain workflows.
• Translating business needs into actionable solutions by leveraging data and capabilities from enterprise and manufacturing systems.
• Developing and deploying dashboards, analytics, and AI-enabled solutions that improve operational visibility, decision-making, and execution.
• Integrating and preparing data from multiple sources, enabling real-time insights, and supporting use cases that extend beyond standard reporting capabilities.
• Providing hands-on development and configuration of AI-driven solutions aligned with site priorities and enterprise standards.
• Serving as the site’s digital and AI subject matter expert, driving awareness, training, and adoption of data-driven and AI-enabled capabilities.
• Ensuring that solutions are effectively embedded into daily operations and sustained within a regulated environment, aligning tools with real-world workflows and reinforcing consistent usage.
• Ensuring that all solutions leverage enterprise platforms, adhere to governance and security standards, and avoid unnecessary duplication or fragmentation.
• Sharing successful use cases, insights, and best practices across the network to enable scalability and continuous improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees