Company Overview: One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small businesses by connecting them with a wide variety of flexible financing and funding options. Our mission is to provide entrepreneurs with the working capital they need to elevate their businesses to new heights. At OPF, we believe in working with high-performing individuals who are ready to play an integral part in our company's expansion. We know that our success hinges on our people, and we strive to enable them to do what they do best.
Why Join Us? At OPF, we foster a dynamic and inclusive company culture that emphasizes collaboration, innovation, and personal growth. Our team is composed of passionate, driven individuals who are committed to making a difference. Here's what you can expect when you join our team:
I nnovative Environment: Work with cutting-edge technology and be part of a team that is constantly pushing the boundaries of fintech.
Professional Growth: We invest in our employees' growth with continuous learning opportunities, training programs, and career advancement paths.
Supportive Culture: Enjoy a supportive and inclusive work environment where your ideas are valued, and your contributions make a real impact.
Community Focus: Be part of a company that understands the importance of small and mid-sized businesses to their communities and the nation's financial health.
High-Performing Team: Join a team of badasses who are committed to excellence and are integral to our company's expansion and success.
About the role:
We invest heavily every year acquiring small businesses across Meta, Google, TikTok, and email, and we are expanding our marketing analytics function to make every dollar of it accountable. This is a senior, high-visibility role with executive sponsorship at the CEO level, real budget, a strong existing data warehouse, and a clear mandate to take marketing analytics at OPF to the next level and run it.
You will own marketing measurement and marketing data science end to end. That means the sophisticated analytical work that actually moves the spend: multi-touch attribution, return on ad spend by channel and creative, media mix modeling to guide budget allocation, incrementality and geo-lift testing to prove what is truly causal, and predictive models that score the value of a lead before we ever pay to acquire it. You will set the analytical agenda, lead the projects, and bring the recommendations to the table yourself.
You will also own the foundation that this analysis stands on. A measurement stack is only as good as the data feeding it, so you will direct the build of our campaign taxonomy, UTM governance, attribution pipeline, customer data platform, and marketing data model, partnering with data engineering to get it right. You define what good looks like; you do not have to lay every pipe yourself.
What makes this role different from most marketing analytics jobs is what sits downstream of it. We are a lender, so we know far more about our customers than a typical advertiser does. Marketing performance here does not stop at a conversion. It extends through the full funnel to the quality and profitability of the businesses each channel brings us, which gives you a richer signal to optimize against than almost any marketing team gets to work with.
You will lead from day one, supported by a team of data science and analytics talent, and you will help shape that team over time as the function grows. You will run it with a high degree of independence, reporting to and partnering closely with our Senior Director of Business Intelligence, and you will be the analytics counterpart to marketing and growth leadership, expected to bring a point of view rather than a dashboard.
We are a very AI-forward company, and we expect our analytics leaders to work that way. We want someone who leans on modern AI and LLM tooling to move faster and sharper, and who is excited to build intelligence directly into how marketing runs.
We want to work with high-performing badasses who see the whole picture and make everyone around them better.
Responsibilities:
• Set and lead the marketing analytics agenda. Own the roadmap from measurement through advanced modeling, prioritize it, and drive it largely independently. This is a role for someone who runs the function and checks in, not someone who waits to be handed the next project.
• Own attribution end to end: take us from last touch to multi-touch models across paid channels, and establish return on ad spend by channel, campaign, and creative as a metric leadership can trust.
• Lead the advanced, causal work: media mix modeling to guide how budget is allocated across channels and to find diminishing-returns curves, plus incrementality and geo-lift experiments that prove what spend is actually causal rather than merely correlated. Know the difference cold, and say which one you are holding when you present a number.
• Own the predictive and data-science work that drives spend: lead-value scoring so the platforms bid toward the businesses worth acquiring, value-based audience segmentation on top of those scores, and predictive ROAS. Direct your data science talent on the modeling and set the standard for it.
• Own how marketing performance is measured across the full funnel, from the ad impression through the website questionnaire to the funded deal and its downstream outcome. You own the definitions and you defend them.
• Direct the build of the measurement foundation with data engineering: campaign taxonomy and naming standards, UTM governance, the attribution pipeline, a customer data platform, and the marketing data model. You own the requirements and the standard; engineering owns the platform.
• Own the analysis of the pre-lead funnel: landing-page and questionnaire step-level tracking, and drop-off analysis by campaign, so we can see where and why prospects fall out before they become a lead.
• Own the KPI and