Provide strategic support to the SVP of Corporate Finance and the broader FP&A organization
Drive organizational transformation, innovation, and operational excellence at scale
Lead critically important programs across global Finance teams and cross-functional stakeholders
Ensure transparency and alignment with corporate objectives
Reduce organizational friction, standardize operational practices, and champion the adoption of AI and new technologies
Act as a primary partner in the execution and monitoring of the Annual Company Plan
Accelerate the integration of AI initiatives within the finance function
Facilitate the annual Corporate Finance goal-setting process
Run complex, cross-functional programs in collaboration with stakeholders from IT, Engineering, Sales, and global Finance teams
Lead high-priority, ad hoc strategic projects in Finance
Collaborate to detail, evaluate, and re-architect existing processes for optimization and standardization
Ensure achievement of success criteria and metrics through partner enablement
Implement scalable, automated solutions that leverage AI
Facilitate executive-level communications and prepare content for leadership meetings
Provide regular reporting on project progress, risks, and performance outcomes
Requirements
Bachelor’s degree or equivalent experience in Business, Finance, or a related field
8+ years of validated experience in Strategy, Operations, FP&A, or Management Consulting, including at least 3 years of direct support to a senior executive (VP/SVP level)
Validated expertise in running company-wide strategic planning cycles and leading large-scale, cross-functional programs
Outstanding communication and presentation skills, with a validated ability to craft compelling, high-level narratives for executive audiences
Ability to operate with a high degree of independence, run ambiguity, and thrive in a fast-paced, sophisticated environment
Deep experience in process optimization and driving technology-led transformation within a Finance or Operations organization (preferred)
Proficiency with project management tools and financial systems (preferred)
Validated experience using data and implementing AI or automation tools within a finance environment (preferred)
SQL or Python experience is considered a strong asset (preferred)