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VP, Revenue

Job in Waukegan, Lake County, Illinois, 60087, USA
Listing for: Snap Finance
Full Time position
Listed on 2026-07-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
Position: VP, Revenue Growth

Company Overview:

At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.

If

you're looking to make an impact and grow with a team that values you, come join us!

Job Description

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.

How you’ll make an impact:
Strategy & Planning
  • 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
Analytics & Insights
  • 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
Merchant & Sales Analytics
  • 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
Advanced Analytics & Testing
  • 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
Team Leadership
  • 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
What you’ll need to succeed:
  • At least 10 years in analytical, business intelligence, or Revenue Operations roles
  • Bachelor's degree required;
    Master's degree preferred
  • 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
What would make you stand out:
  • 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…
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