Credit Data Steward: Data Governance & Quality Lead

Old National Bank; Deerfield (IL); On-site; USD 60,000 - 121,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401K

Continuing education opportunities

Employee assistance program

Impact Network Groups

Job summary

Old National Bank is seeking a Credit Data Steward to own governance of critical credit data assets and ensure accuracy, completeness, and regulatory compliance across the bank. You will liaise between business, technology, risk, and governance functions to set data standards and enable trusted data for credit decisioning.

The role requires data governance expertise, collaboration across departments, and a focus on data lineage and metadata management to support risk reporting and portfolio

Qualifications

• Bachelor's degree in Finance, Economics, Accounting, Information Systems, Data Management, Business Administration or a related field.
• 7-12+ years of experience in data management, and data governance frameworks.
• Experience supporting regulatory reporting, credit risk analytics, or data governance programs.

Responsibilities

• Define governance requirements for critical credit data elements and establish ownership.
• Lead data quality initiatives and monitor DQIs.
• Support regulatory reporting and credit risk analytics through high-quality data governance.

Skills

Data governance

Regulatory reporting

Education

Bachelor's degree in Finance, Economics, Accounting, Information Systems, Data Management, Business Administration or related field

Tools

Power BI

SQL

Databricks

Microsoft Office

Job description

Old National Bank is seeking a Credit Data Steward to own governance of critical credit data assets and ensure accuracy, completeness, and regulatory compliance across the bank. You will liaise between business, technology, risk, and governance functions to set data standards and enable trusted data for credit decisioning.

The role requires data governance expertise, collaboration across departments, and a focus on data lineage and metadata management to support risk reporting and portfolio