• Design, code and test AI agents that support autonomous decision-making in marketing campaigns, customer acquisition, and portfolio optimization. • Apply hands-on coding knowledge to create agentic AI techniques to solve complex business problems in consumer lending. • Conduct exploratory data analysis and develop predictive models using credit bureau data and other consumer datasets. • Prototype and improve on intelligent agent behaviors using Python, Spark and modern agentic frameworks. • Support the deployment and monitoring of AI models in production environments, ensuring performance, reliability and compliance. • Collaborate with company partners to translate our requirements into scalable AI solutions. • Contribute to the development of new analytical products and services that enhance marketing effectiveness and customer engagement.

We're looking for a senior leader to own our data function and AI infrastructure. As our first Head of Data & AI Enablement, you'll define and execute the company's data strategy from the ground up — and critically, you'll need to build organizational buy-in for that strategy and drive it to measurable outcomes. You'll own data engineering, pipeline architecture, analytics, and the data layer that feeds our AI and reporting products. Our engineering team currently owns AI infrastructure and feature development — this role ensures they have the clean, reliable, well-structured data foundation to do that effectively. This is a player-coach role at a growth-stage company. You'll set the vision and roadmap, but you'll also roll up your sleeves early on. A key challenge of this role is balancing the day-to-day demands — data quality issues, stakeholder requests, system syncs — with execution on a longer-term data roadmap. We need someone who won't let firefighting crowd out the strategic work. This role sits at the intersection of data, business strategy, and AI. You'll work closely with Dan and the leadership team to ensure our data platform powers both internal decision-making and the products our engineering team is building for customers. You'll serve as a critical bridge between the business side and the data engineering function — translating business needs into data requirements, and ensuring data work is always grounded in business context and value. On AI specifically, you'll be a key voice in shaping our approach — bringing experience with LLMs and AI agents to the table — but you won't be doing it alone. How we adopt and operationalize AI tooling is something the company is actively figuring out, and this role will help shape that alongside engineering and product leadership.

• Design, test, and iterate on machine learning models that power recommendation, ranking, routing, and monetization • Own A/B testing strategy and causal measurement for product features and partner performance • Partner with engineers to productionize models and integrate them into live systems • Build analyses, dashboards, and tools that inform product strategy and customer outcomes • Define metrics and success criteria for new initiatives • Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations • Help establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow leveraging our existing technical stack • Raise the bar for statistical rigor and experimentation across the company

• Oversee the integrity and accessibility of Generation Citizen's data • Support upgrades to current data tools including building dashboards and improving reports • Manage data visualization software and refine existing dashboards • Act as the primary point of contact for technical issues and internal data requests • Assist staff with the implementation of new systems and processes for data integrity • Produce data visualizations for key events, trainings, and reports • Ensure data systems promote equity-centered insights • Support strategic planning by identifying trends and opportunities revealed through data