Senior Analyst, Digital & AI Supply Chain Enablement

Job Description

General Summary:

Vertex is a global biotechnology company that invests in scientific innovation. The Digital, Technology and Engineering (DTE) Research, Pre-Clinical, Manufacturing & Supply (RPMS) Group’s mission is to improve the lives of patients through digital, data, and technology innovation.

Vertex is in a transformational period where we are accelerating our capabilities, technology and data to augment our scientific mission and enable Vertex to grow in scale; ensuring we remain on the forefront of science, medicine and technology. 

We are seeking a dynamic and experienced senior analyst with a passion for intelligent orchestration solutions, to join our team and drive our digital transformation initiatives.

The Senior Analyst, Digital & AI Supply Chain Enablement is part of a team of innovators responsible for the development, implementation, and management of artificial intelligence (e.g. agentic) and automation technologies that accelerate supply chain oversight, decision control and process optimization. These activities enable the rapid expansion of the supply of all Vertex medicines in clinical trials and commercially, from small molecules through to cell and gene therapy medicines.  This work is vital to ensure that fast, effective, efficient and compliant supply occurs.

The Senior Analyst partners with team members across global supply chain to enhance digital capabilities, drive automation, and improve operational efficiency and deliver high value, high speed impact.

Key Duties and Responsibilities:

• Participate in the design, implementation, and maintenance of manufacturing oversight systems to support the clinical and commercial supply of all Vertex medicines.
• Enable the integration of operational, trade, planning and logistics data through to insight.
• Have mastery of the marketplace of commercial products with innovation to where creative solutions can drive Vertex’s needs forward.

• Collaborate globally to accelerate operational efficiency in supply planning, forecasting and execution processes internally and externally.
• Monitor and implement fast moving AI technologies and regulatory trends to design and build system capabilities and maintain compliance with evolving global standards.

• Execute timely technology/AI/data activity to the required quality standards.
• Collaborate with cross-functional teams to understand needs and ensure successful delivery to value.
• Willingness to travel up to 10% to support business objectives.

Knowledge and Skills:

• Experience in successfully designing and implementing data and technology solutions in commercial manufacturing environments and across a manufacturing network.
• Strong analytical and problem-solving skills, with the ability to use data to inform decisions.
• Excellent written and verbal communication skills, with the ability to present complex technical concepts to a variety of audiences.
• A strong commitment to compliance and integrity in systems, processes, and actions, with a deep understanding of the biotech environment.
• Proficiency in rapidly adopting and implementing emerging technology (e.g. agentic).
• Proficiency in manufacturing software and tools and strong understanding of manufacturing processes and technology.

Education and Experience:

• Bachelor’s degree in a supply chain or logistics discipline, computer science, IT or relevant equivalent experience; Master’s degree preferred.
• 5+ years of experience in technology, ideally within supply chain, quality or regulatory domains.
• Demonstrated ability to work in cross-functional teams and initiatives that require collaboration across multiple functional areas.
• Proven track record of implementing and optimizing digital systems and data flows.
• Experience with regulatory requirements and industry standards, including GxP.
• Experience with the supply chain processes of small molecule, cell therapy, gene therapy and other modalities.
• Experience with enabling advanced technologies, such as AI and machine learning, and delivery of data engineering strategies is highly desirable. 
• Advanced certifications in product, agile, software engineering, cloud technologies, or leadership preferred.

Pay Range:

Disclosure Statement:

Flex Designation:

Flex Eligibility Status:

In this Hybrid-Eligible role, you can choose to be designated as: 1.    Hybrid: work remotely up to two days per week; or select2.    On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. 

#LI-Hybrid

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com