Scale’s Finance Analytics and Systems team is looking for a builder-oriented team member to help design and develop internal tools and AI agents that automate workflows across finance and accounting. In this role, you will work closely with stakeholders across business finance, corporate finance, and accounting to understand their workflows and build systems that enable faster turn-arounds times with higher degrees of accuracy. You will design data models, prototype internal tools, and implement agent-driven workflows using our internal data infrastructure, system integration tooling, Scale’s proprietary AI platform as well as emerging AI tools. We’re looking for someone who enjoys solving complex problems, building systems from the ground up, and translating ambiguous business needs into scalable technical solutions, with strong attention to detail and a rigorous approach towards validating results. Key Responsibilities Design and develop end-to-end agent-driven workflows that automate finance and accounting processes, and improve operational efficiency Build scalable data models and pipelines that serve as the foundation for analytics assets (e.g., dashboards), agentic workflows and system automations Partner with stakeholders across finance, accounting, and customer operations to translate business requirements into technical requirements and system designs Collaborate with engineering teams in t he development of internal tools to improve Scale’s financial system infrastructure Evangelize and support the adoption of AI-enabled automation across finance and accounting teams Ideally, you have: 5+ years of experience in data analytics, analytics engineering, or data science roles (supporting finance teams is a plus) Expert knowledge of SQL and Python for data analysis and modeling Experience building internal tools, automation systems, or data products Experience building a reliable transformation layer and pipelines from ambiguous business proces

Analytics & Data Science Manager, Finance