Processunity Jobs in Boston, MA (NOW HIRING)

Job Description

General Summary:

The 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, Source to Pay Technology 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 (e.g., Contract Lifecycle Management platform (Icertis), Third-Party Risk Management platform (ProcessUnity), Electronic Signature platform (Docusign), Procure-to-Pay platform (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

• Demonstrated ability to understand, analyze, and document complex business processes, translate business needs and functional requirements into technical or process-driven solutions

• Self-directed individual who is able to work independently and collaboratively in a matrixed team environment

• Experience in program and project management, demand management, resource management and system lifecycle management

• Results-oriented individual with a proven track record of on-time project 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 software development practices and dev/ops model

• Very strong written and verbal communication skills and ability to present in a clear and concise manner to various technical and non-technical audiences

• Demonstrated ability to solve complex business problems by collaborating across organizational boundaries

Education and Experience:

• Bachelor's degree in technology discipline or equivalent

• Typically requires 6 years of work experience with relevant business systems in the Life Sciences industry, or the equivalent combination of education and experience

• Experience working with implementation partners as well as managed services providers and/or offshore teams

#LI-HYBRID

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 select
2. 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