Vertex Pharmaceuticals
Senior Manager, G&A Functions
Boston, MA · Senior
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About the role
- Financial Planning & Analysis Senior Manager
- Business Partnering & Stakeholder Management
- Financial Planning, Analysis & Performance Management
Responsibilities
- Serve as the strategic finance partner to leaders across assigned G&A functions, building trusted relationships and providing financial counsel, decision support, and constructive challenge to help achieve short- and long-term objectives.
- Partner with Human Resources and functional leaders on workforce planning, headcount forecasting, vacancy management, and organizational changes, ensuring associated financial impacts are accurately reflected in plans and forecasts.
- Establish and maintain clear, scalable reporting and analytics that provide leaders with timely insight into spending trends, business drivers, forecast accuracy, and progress against functional objectives.
- Collaborate across the CFO organization, including Corporate Finance, Accounting and other finance teams, to align assumptions, strengthen controls, share best practices, and deliver efficient end-to-end processes.
Requirements
- Required Knowledge/Skills
- Core Financial & Analytical Expertise
- Advanced financial planning and analysis expertise, including budgeting, forecasting, long-range planning, management reporting, scenario analysis, and financial modeling.
- Strong understanding of accounting and finance principles, including accruals, operating expense management, variance analysis, financial controls, and the monthly and quarterly close process.
- Excellent written and verbal communication skills with the ability to explain complex financial concepts clearly to finance and non-finance audiences.
Nice to have
- Advanced proficiency in Excel and PowerPoint
- experience with Hyperion, Oracle EPM, SAP BPC, or a comparable planning platform.
- Experience with business-intelligence and visualization tools such as Tableau or Power BI is preferred.
- Continuous improvement mindset with demonstrated interest in process simplification, automation, AI-enabled analytics, data quality, and emerging finance technologies
- experience with lean tools or lean philosophies is preferred.
- Biotechnology/Pharmaceutical industry experience preferred
Compensation
- $134,400 - $201,600
- The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting.
- This role is eligible for an annual bonus and annual equity awards.
- Some roles may also be eligible for overtime pay, in accordance with federal and state requirements.
- Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
Company info
- work remotely up to two days per week; or select
- work five days per week on-site with ad hoc flexibility.
- The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
- 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
This listing is sourced directly from Vertex Pharmaceuticals's careers page and normalized into a canonical job model.