The role involves leading architecture reviews and establishing analytical standards for a financial infrastructure platform. The individual will own the strategy, technical architecture, and governance model for platforms that ensure business metrics are consistent and queryable at scale. Responsibilities include defining how analytical data is modeled, stored, and served across the organization. The position requires tackling complex, cross-team data challenges and driving initiatives to improve data quality for executive decision-making. Additionally, the role entails shaping a multi-year roadmap for analytics infrastructure and mentoring teams to raise the overall technical quality of analytical work.

Candidates must possess at least 10 years of experience in data analysis, analytics engineering, business intelligence engineering, or data science, specifically in building data infrastructure and solving complex problems at scale. Required technical expertise includes deep proficiency in SQL, warehouse design, and metrics infrastructure. Applicants should demonstrate a proven track record of setting long-term technical vision, leading cross-team initiatives, and mentoring others. A Master’s degree in a technical field such as Mathematics, Statistics, Economics, Engineering, or Computer Science is preferred, though equivalent experience is accepted.