VP, Revenue Growth

Snap Finance•Washington, DC

About The Position

As VP Revenue Growth, you will partner with senior leaders to monitor, analyze, and optimize revenue through strategic and tactical business adjustments. This role sits at the intersection of analytical expertise and strategic business management. You will champion growth for our Merchant business by leveraging AI and machine learning technologies to drive innovation, enhance decision-making, and unlock new opportunities across all revenue channels. This is a senior-level role on a cohesive team where great execution is strongly supported. You'll have regular opportunities to engage with our Executive Team to shape the company's future growth. You will lead a team responsible for managing business information, assessing opportunities, driving go-to-market alignment, and executing strategic initiatives. You'll champion the deployment of AI and machine learning solutions to transform how we analyze business performance, predict trends, and execute strategies. You will be instrumental in strategy definition, prioritization, and planning.

Requirements

At least 10 years in analytical, business intelligence, or Revenue Operations roles
Bachelor's degree required
Strong proficiency with analytics and BI tools (Tableau, RStudio, etc.)
Exposure to SQL and Python
Understanding of AI/ML concepts, frameworks, and terminology
Knowledge of machine learning algorithms, deep learning, and generative AI models
Familiarity with AI implementation approaches (MLOps, model deployment)
Understanding of data governance and quality requirements for AI development
Ability to evaluate AI/ML vendors and solutions for business application

Nice To Haves

Master's degree preferred
Strong analytical and problem-solving skills with ability to synthesize data into actionable insights
Excellent communication skills across all organizational levels
Strategic thinking balanced with operational execution
Cross-functional collaboration and stakeholder management abilities
AI/ML business acumen—understanding when and how to apply AI to business problems
Change management skills to drive organizational adoption of new technologies
Ability to communicate complex AI concepts clearly to non-technical audiences
Technical collaboration with data scientists and ML engineers

Responsibilities

Monitor and optimize revenue performance across funnels through strategic adjustments
Partner with executive and revenue functions to set KPIs aligned with business objectives
Identify and prioritize new growth opportunities and innovations
Help drive cross-functional alignment on product strategy and go-to-market approach
Evaluate complex business questions and trends as they arise
Proactively identify risks and opportunities through advanced analytics and AI
Monitor competitive landscape and conduct performance comparisons
Distill complex data into actionable insights for stakeholders
Provide insights on business variances and performance drivers
Drive data-informed initiatives that improve business performance
Leverage AI to generate merchant insights including performance analytics and growth recommendations
Provide prospecting analytics and target identification support to sales teams
Create clear merchant analytics highlighting where success is occurring and where improvement is needed
Use AI to create standardized reporting and identify patterns in complex data
Troubleshoot funnel issues and optimize performance
Design and execute tests to validate strategy recommendations and measure impact
Build and develop a high-performing team
Provide strong leadership and mentorship
Support career development and day-to-day growth
Foster a culture of connection, value, and shared mission