Teams at Chip – Your wealth app.

Monitor product functionality, analyze and query data, build dashboards, provide management information, and support cross-functional decision-making. The role owns reporting processes, develops operational controls, investigates issues, and automates recurring analysis using SQL and Python. It also maintains coding and visualization standards, reviews other analysts’ SQL, and communicates data-driven insights to stakeholders across Finance, Operations, Product, and Engineering.

Own and evolve Chip’s data platform architecture, including scalable pipelines, medallion architecture, data modeling, governance, security, and self-service enablement. Establish engineering standards, apply Databricks and Terraform best practices, optimize performance, and mentor data engineers. The role requires hands-on expertise in Databricks, Python, PySpark, SQL, databases, Git, infrastructure as code, and PII governance, with opportunities to re-architect the platform in a regulated fintech environment.

Lead Chip’s company-wide AI and business transformation in partnership with the COO and leadership team. Identify operational inefficiencies, redesign workflows and operating models, prioritize AI and automation opportunities, and drive initiatives from discovery through implementation and measurable results. Improve accountability, execution visibility, decision-making, reporting, and organizational scalability while leading cross-functional teams and influencing senior stakeholders.