Description
This senior data and analytics leadership role combines risk and compliance analytics with AI, machine learning, data architecture, platform engineering, data governance, and enterprise reporting. The role applies quantitative methods to assess risk, builds scalable digital solutions and data pipelines, operationalizes calculations and metadata services, improves data quality, and delivers executive-ready dashboards and platform metrics. It requires 8–10 years of experience in data architecture, platform engineering, analytics, or data product leadership, with financial services and risk/compliance experience preferred, along with a bachelor's degree.
