Description

The Data Quality Lead Expert is the senior technical authority responsible for the design, engineering, and continuous improvement of the technical implementation of the Data Quality Framework. As a hands-on individual contributor, this role personally engineers the most complex and high-impact data quality checks including statistical and ML-based anomaly detection and defines the engineering standards, reusable patterns, and tooling that the wider data quality team adopts.
While adhering to defined data policies, the role concentrates on the technical depth of data health: instrumenting robust, scalable, and idempotent checks, operationalizing the data quality dashboards, and ensuring proactive monitoring of data issues. It serves as the deep technical bridge between governance policy and engineering implementation, ensuring that critical data quality issues are detected, diagnosed, and resolved before they impact business KPIs. The role leads thr...