About The Position

Dave vs. Goliath. We’re Dave. Dave is a financial app on a mission to build products that level the financial playing field. It is redefining the financial landscape by leveraging technology to create an affordable, transparent, and user-centric access to liquidity for millions of Americans. As a leading innovator in the U.S. financial services sector, Dave’s digital financial platform offers products designed to meet the credit needs of those underserved by traditional financial institutions. Dave’s offerings include its flagship ExtraCash product, providing members up to $500 in short-term advances within minutes. The company is on track to launch several new product offerings in 2026, including a Buy Now Pay Later (BNPL) option. Dave’s is focused on serving Americans who are financially vulnerable or living paycheck to paycheck. Dave is leading the charge in creating a new era of credit products that prioritizes speed, affordability, and accessibility, making it the go-to financial partner for those who need it most. We’re a profitable, fast growing, publicly traded fintech (NASDAQ: DAVE) The Opportunity This is a company-shaping leadership role – a highly visible leadership role shaping the foundation of how we grow our existing products and build new ones. You’ll lead the analytics strategy and development, and define how analytics influence product, growth, marketing, and financial decisions. You’ll build and scale analytics teams aligned with product and marketing, establish clear KPI ownership, and partner directly with executive leaders to improve decision quality.

Requirements

  • 12+ years in analytics, data science, or quantitative strategy roles.
  • 5+ years leading and scaling managers and multi-team analytics organizations.
  • Proven experience defining KPI frameworks and experimentation standards at company scale.
  • Track record of influencing VP and C-level leaders on roadmap, investment, or P&L decisions.
  • Deep understanding of growth, product, and marketing measurement in data-rich environments.
  • Experience partnering closely with Data Engineering on scalable, trustworthy infrastructure.
  • Master’s or PhD in a quantitative field is strongly preferred.

Nice To Haves

  • Experience in fintech, banking, credit, or payments.

Responsibilities

  • Set the multi-quarter strategy for Product, Growth, and Marketing Analytics, aligning analytical and data science investment to the company’s highest-leverage priorities.
  • Lead ideation and collaborate with Product, Eng to enable fast iteration for building new products.
  • Guide teams to use AI agents to accelerate development, testing, and documentation
  • Define and govern org-wide KPIs that connect product usage, growth efficiency, revenue, and member outcomes.
  • Build and scale a high-performing analytics organization within a 50-person Data & AI org, developing managers and creating clear growth paths for analysts.
  • Establish strong experimentation standards — including governance, prioritization, and decision frameworks that balance speed and rigor.
  • Partner closely with Product, Growth, Marketing, Finance, and Data Engineering to ensure analytics is embedded, trusted, and actionable.
  • Elevate storytelling and executive communication so complex insights translate into clear business decisions.
  • Partnership with engineering teams to leverage platform for maximum speed and quality

Benefits

  • Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals
  • Flexible hours and virtual first work culture with a home office stipend
  • Premium Medical, Dental, and Vision Insurance plans
  • Generous paid parental and caregiver leave
  • 401(k) savings plan with matching contributions
  • Financial advisor and financial wellness support
  • Flexible PTO and generous company holidays, including Juneteenth and Winter Break
  • All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team
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