Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. With record revenue growth in 2025 and a unicorn valuation, we've built a suite of products that help millions of people build credit, access liquidity, and save money. We're scaling fast.

Join us if you want to build something meaningful and help millions of people move forward financially. Why Kikoff: This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships.

Yes, you can build an exciting business AND have real-life real-customer impact.

About The Role

As Head of Data, you will own the data strategy and execution across the organization. You will set the technical direction, build the management structure, and be a direct partner to senior leadership on the decisions that matter most to the business. This is not a hands-off role.

You will be close to the models, close to the data, and close to the business. In This Role, You Will Lead and Grow the Team Manage, coach, and develop a team of 15+ data scientists and engineers, including direct reports who are themselves managing ICs Own the hiring plan to grow the team to ~25 by end of year, including hiring and developing managers who can each own a sub-domain of the work Set a high bar for technical rigor, ownership, and business impact across the team Own the Data Science Strategy Define and execute the data science roadmap across credit risk, growth, product analytics, and fraud Own the full ML model lifecycle: scoping, development, validation, deployment, monitoring, and governance Maintain best practices for experimentation design, causal inference, A/B testing, and statistical analysis across the company Ensure data science output is production-grade, well-documented, and auditable.

Nice To Have

Experience in consumer credit, risk underwriting, or fraud modeling Familiarity with regulatory and model governance expectations in consumer lending Experience with BI and data tools such as Metabase, Looker, dbt, Airflow, or Fivetran Experience managing data engineering teams or working closely with data inf