Join JPMorganChase Commercial and Investment Banking and help power data-driven decisions at scale. In GBDH Operations, you'll collaborate with global finance, operations, and technology partners to deliver reliable data and stronger client outcomes. This role offers hands-on ownership, continuous improvement work, and real impact across a broad platform.

Job Summary
As an Operations Associate in Global Banking Data Hub (GBDH) Operations within Commercial and Investment Banking, you ensure timely, accurate, and controlled data quality processes on the AWS platform. You partner with global stakeholders to identify root causes, remediate issues, and improve operational cycles through disciplined execution. You maintain clear tracking and communications to support delivery, reporting, and strategic priorities.

Job Responsibilities (

Partner with global teams to deliver timely, high-quality data to finance, operations, and technology functions
Maintain Jira tracking in line with control standards to enable transparent status reporting
Build strong partnerships across business, finance, operations, and technology stakeholders globally
Communicate proactively across geographies on impacts, risks, dependencies, and deliverables
Identify data quality and processing breaks and drive issue triage to resolution
Analyze root causes and document outcomes to reduce repeat defects and improve controls
Improve continually by proposing and executing process enhancements across daily operations
Detect production bugs and coordinate remediation with stakeholders, Ops, and technology teams
Execute testing for new functional releases to strengthen the operations cycle and data outcomes
Monitor operational runbooks and ensure consistent adherence to operating model expectations
Escalate promptly when risks or blockers threaten timelines, data integrity, or stakeholder commitments

Required qualifications, capabilities and skills

Hold a BS/BA degree or equivalent relevant experience
Bring 3+ years of experience executing production operating models in financial services environments
Apply strong data quality and issue-management discipline in fast-paced, high-stakes workflows
Use Jira effectively to track work, evidence controls, and support accurate status reporting
Demonstrate proficiency in Microsoft Office and SQL for analysis, reporting, and reconciliation
Communicate clearly with geographically diverse teams and senior stakeholders
Leverage basic AWS knowledge, including exposure to Redshift and Databricks, to support daily execution

Preferred qualifications, capabilities and skills

Demonstrate hands-on experience working in AWS environments supporting data operations
Apply Agile ways of working to manage intake, prioritization, and iterative delivery
Use Python to automate repeatable checks, reconciliations, or operational reporting
Utilize Alteryx to streamline data preparation, controls evidence, or workflow efficiency
Build Tableau dashboards to improve visibility into operational health and data quality trends
Strengthen incident response by contributing to monitoring, alerting, and runbook improvements
Collaborate effectively with engineering teams to translate operational issues into actionable fixes and enhancements

SQL - Data Quality - Analyst