VP Revenue Growth & AI Analytics

Snap Finance; Georgia; On-site; USD 180,000 - 320,000; Full time

Benefits offered by this job

Generous paid time off

Medical, dental & vision coverage

401K with company match

Life insurance

Disability insurance

Mental health resources

Volunteer time

Legal coverage

Value-based culture

Job summary

Snap Finance in the United States seeks a VP Revenue Growth to partner with senior leaders, drive AI-powered revenue optimization, and lead strategic initiatives across merchant channels. You will champion data-driven decision making, oversee analytics, and shape GTM and product strategy with executive alignment.

You will build a high-performing team, mentor talent, and translate complex datasets into actionable insights for company-wide growth.

Qualifications

• At least 10 years in analytical, BI, or Revenue Operations roles.
• Bachelor's degree required; Master's preferred.
• Strong proficiency with analytics tools and programming languages.
• Familiarity with AI/ML concepts and vendor evaluation.

Responsibilities

• Lead strategy and planning to optimize revenue across funnels.
• Partner with executives to set KPIs and growth opportunities.
• Leverage AI/ML to inform decisions and drive performance.
• Build and mentor a high-performing analytics team.
• Align go-to-market and product strategies with data insights.
• Provide clear, data-driven recommendations to stakeholders.

Skills

Analytical mindset

Strategic thinking

Leadership

Cross-functional collaboration

Communication

AI/ML business acumen

Education

Bachelor's degree

Master's degree preferred

Tools

Tableau

RStudio

SQL

Python

Job description

Snap Finance in the United States seeks a VP Revenue Growth to partner with senior leaders, drive AI-powered revenue optimization, and lead strategic initiatives across merchant channels. You will champion data-driven decision making, oversee analytics, and shape GTM and product strategy with executive alignment.

You will build a high-performing team, mentor talent, and translate complex datasets into actionable insights for company-wide growth.