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VP, Revenue Growth

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: Snap-Finance
Full Time position
Listed on 2026-08-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 180000 - 250000 USD Yearly USD 180000.00 250000.00 YEAR
Job Description & How to Apply Below
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 AIMonitor 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 abilitiesAI/ML business acumen—understanding when and how to apply AI to business problems

Change management skills to drive…
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