Hybrid Data Process Manager: QA Insights & Dashboards

Capital One; Delaware; Hybrid; USD 67,000 - 76,000; Full time

Job summary

Capital One is seeking a Hybrid Process Manager (Associate) to drive operational efficiency, data integrity, and QA leadership insights across monitoring teams and support towers.

The role blends hands-on data work—executing SQL scripts in Databricks and Argos, maintaining GitHub code, and building dashboards—with structured process management and continuous improvement to meet enterprise quality standards.

Qualifications

• High School Diploma or equivalent
• At least 1 year of data operations, QA reporting, or process improvement experience
• At least 1 year SQL experience
• Experience with Google Workspace or Microsoft Office is preferred

Responsibilities

• Data Reporting & Dashboard Management: design, build, and maintain dashboards and automated reports (Tableau, Snowflake) used by QA leadership and executives.
• Ad-Hoc Analysis: fulfill data extraction/reporting requests across Operations, Process Improvement and Internal Audit.
• Databricks, Argos & GitHub Code Governance: run, schedule, and monitor data jobs; manage GitHub repositories; lead script governance and peer reviews.
• Process Management & Continuous Improvement: evaluate QA data workflows, identify bottlenecks, and drive automation and refinements.
• Testing & Data Integration: lead UAT for new data sources and schema changes to ensure data reliability.

Skills

SQL

Databricks

Argos

Tableau

Snowflake

GitHub

JIRA

Confluence

Python / PySpark

Education

Bachelor's Degree or Military experience

Tools

Databricks

Argos

GitHub

Job description

Capital One is seeking a Hybrid Process Manager (Associate) to drive operational efficiency, data integrity, and QA leadership insights across monitoring teams and support towers.

The role blends hands-on data work—executing SQL scripts in Databricks and Argos, maintaining GitHub code, and building dashboards—with structured process management and continuous improvement to meet enterprise quality standards.