Principal Analyst, Source to Pay Technology

General Summary Principal Analyst, Source to Pay Technology will provide technical expertise, delivery, and support for Source-to-Pay AI-powered technologies. This role will focus on the implementation and subsequent maintenance of Source to Pay Orchestration solutions and AI capabilities. The Principal Analyst will partner with business leadership to identify and prioritize opportunities to improve business processes with innovative technology and data, gathering and refining requirements, determining options for solution design, delivering enhancements, supporting integrations, and contributing to technology projects and initiatives. Key Duties and Responsibilities Serve as a trusted advisor for business stakeholders on Source to Pay technology and AI solutions to support and enable the business goals and objectives Collaborate with business stakeholders to understand their current and future state strategy, needs, and requirements from a global perspective Implement AI capabilities in the Source to Pay space while meeting compliance, legal, and ethical standards, including data privacy and regulatory requirements Proactively offer innovative technologies and solution ideas, and potential business process improvements in pursuit of driving efficiencies and meeting business needs Facilitate workshops and discussions to collect and document user stories / requirements Develop and document functional and technical aspects for integrations with upstream and downstream platforms Design, perform and document system configurations within in-scope platforms and applications Contribute to the creation and documentation of testing strategies and execution plans Work with offshore team members and peers for platform support and technical development of enhancements and projects Manage relationships with strategic software vendors and managed service providers (as needed) Work closely with Privacy, DTE Compliance, and Internal Audit to ensure compliance with all appropriate regulations, data integrity policies, and Vertex’s system lifecycle and change management processes Knowledge and Skills Experience with Source to Pay technologies such as Icertis, ProcessUnity, Docusign, Coupa, and Source to Pay Orchestration tools In-depth knowledge and hands‑on experience implementing AI/ML technologies Demonstrated ability to translate business challenges into AI‑driven solutions with measurable outcomes Functional and technical expertise with application configurations, integrations, and documentation Ability to understand, analyze, and document complex business processes, translating business needs and functional requirements into technical or process‑driven solutions Self‑directed individual who works independently and collaboratively in a matrixed team environment Experience in program and project management, demand management, resource management and system lifecycle management Results‑oriented with a proven track record of on‑time delivery for large, complex projects with global stakeholders Exceptional analytical, quantitative, problem‑solving, and prioritization skills In‑depth experience in design, development, and deployment of technology solutions using agile practices and a dev/ops model Very strong written and verbal communication skills and the ability to present clearly to technical and non‑technical audiences Ability to solve complex business problems by collaborating across organizational boundaries Education and Experience Bachelor’s degree in a technology discipline or equivalent Typically requires 6 years of work experience with relevant business systems in the Life Sciences industry, or an equivalent combination of education and experience Experience working with implementation partners, managed services providers and/or offshore teams Pay Range $154,300 - $231,400 Flex Designation Hybrid‑Eligible Or On‑Site Eligible In this Hybrid‑Eligible role, you can choose to be designated as: Hybrid: work remotely up to two days per week; or 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. Equal Employment Opportunity Statement 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 View email address on click.appcast.io. #J-18808-Ljbffr Vertex Pharmaceuticals