Credit Data Steward

Old National Bank•Evansville, IN

9d•$60,000 - $121,300•Onsite

About The Position

The Credit Data Steward serves as the business owner and governance lead for critical credit and lending data assets across the bank. This role is responsible for ensuring the accuracy, completeness, consistency, timeliness, and regulatory compliance of credit-related data used throughout organization. The Credit Data Steward acts as the liaison between business stakeholders, technology teams, risk partners, and data governance functions to establish data standards, resolve data quality issues, support regulatory requirements, and enable trusted data for credit decisioning, portfolio management, and risk reporting.

Requirements

Bachelor's degree in Finance, Economics, Accounting, Information Systems, Data Management, Business Administration or a related field required.
7–12+ years of experience in banking, credit risk, data management, or data governance.
5+ years of experience working with commercial or corporate banking data.
Experience supporting regulatory reporting, credit risk analytics, or data governance programs.
Demonstrated experience managing enterprise-wide data quality initiatives.
Strong understanding of Commercial lending operations, Credit underwriting processes, Loan accounting systems, Credit risk rating methodologies, CECL methodologies, Regulatory reporting requirements, Commercial loan lifecycle management and Data governance frameworks.
Experience with tools such as Power BI, SQL, Databricks and Microsoft Office applications.

Responsibilities

Serve as the designated steward for critical credit and lending data domains.
Define and maintain business metadata, data definitions, business rules, and data quality standards.
Establish ownership and accountability for critical credit data elements.
Lead governance activities related to, but not limited to, borrower, guarantor, collateral, facility, exposure, risk rating, covenant, and loan performance data.
Participate in enterprise data governance councils and risk management committees.
Develop and maintain Key Data Quality Indicators (DQIs) and monitoring processes.
Identify, analyze, prioritize, and remediate data quality issues.
Perform root cause analysis of recurring data defects.
Partner with technology teams to implement sustainable data quality controls.
Monitor and report data quality performance metrics to senior leadership.
Support compliance with regulatory expectations.
Ensure critical credit risk data is traceable, governed, and defensible.
Document end-to-end data lineage from source systems through reporting and analytics environments.
Maintain business glossaries and data dictionaries.
Validate data transformations and business logic across systems.
Support implementation and maintenance of metadata management platforms.
Collaborate with multiple departments across the organization.
Translate business requirements into data governance and data quality solutions.
Facilitate issue resolution across multiple business units.
Participate in lending system conversions and modernization initiatives.
Evaluate data impacts of new products, regulatory requirements, and business processes.
Define governance requirements for new data sources and applications.
Support enterprise data strategy initiatives.
Ensure data supports accurate regulatory reports, credit risk reporting, portfolio management reporting, concentration monitoring and commercial loan analytics.