Data Governance Program Analyst

Old National Bank•Evansville, IN

1d•$77,900 - $153,000

About The Position

The Data Governance Analyst operates within the Second Line of Defense to support the implementation and ongoing maturity of the enterprise data governance program. This role is responsible for providing independent oversight, guidance, and effective challenge to ensure data governance policies, standards, and control requirements are consistently applied across the organization. The Analyst focuses on ensuring the integrity, quality, and protection of data assets through the establishment and monitoring of data quality controls, metadata management, and lineage practices aligned to enterprise governance frameworks and regulatory expectations. Working cross-functionally with business units, technology, and compliance partners, the role drives alignment with data governance standards, identifies and escalates risks and control gaps, and supports the organization’s broader data governance and risk data aggregation and reporting (RDAR) objectives.

Requirements

Bachelor’s degree in Information Systems, Business, Risk Management, or a related field.
5+ years of experience in data governance, data management, data engineering, or comparable risk/compliance roles
Familiarity with data governance frameworks (e.g., DAMA – DMBOK, DCAM, NIST Privacy Framework, FFIEC).
Proficiency with data governance or catalog tools (e.g., Colibra, Alation, Informatica, Microsoft Purview)
In depth knowledge of SQL or other data querying tools
In depth knowledge of Data profiling and data quality tools
In depth knowledge of Metadata management and lineage visualization tools
Working knowledge of data architecture concepts, including data warehouses, data lakes, and ETL/ELT processes, with the ability to assess data flows, lineage, and control points within complex data environments.
Proficiency in Microsoft Excel, PowerPoint, and data visualization tools
Strong analytical, communication, and collaboration skills.

Nice To Haves

Prior experience working in a financial institution, preferred.

Responsibilities

Operate with a high degree of autonomy to drive implementation and maturity of the enterprise data governance program, translating policies and standards into actionable practices, and partnering with data stewards, working groups, and governance councils to drive enterprise-wide adoption, control consistency, and regulatory alignment.
Support the design, development and execution of data quality rules, issue tracking, and remediation processes.
Provide guidance and oversight regarding metadata management standards and framework for data cataloging platforms, providing independent review and credible challenge to ensure completeness of data definitions, lineage, and critical data elements in alignment with enterprise governance requirements.
Partner with enterprise initiative teams to provide independent oversight, guidance, and effective challenge for data platform migrations, report certification programs, and regulatory reporting enhancements, ensuring alignment with governance frameworks and control expectations.
Execute and support governance control testing activities, proactively identifying, documenting, and tracking data quality and control issues through to remediation, ensuring evidence is retained and aligned with enterprise standards and regulatory expectations.
Collaborate with data owners and stewards to define and document data definitions, lineage, and usage, ensuring completeness, consistency, and adherence to enterprise governance policies through independent review and effective challenge.
Lead and facilitate data stewardship activities, partnering with cross-functional working groups and governance councils to drive alignment on data standards, resolve data quality issues, and ensure consistent adherence to established governance frameworks.
Operate independently to oversee and challenge cross-functional initiatives, ensuring data governance requirements are appropriately embedded into system implementations and process changes, and that control design, execution, and adherence meet enterprise standards and regulatory expectations.
Monitor and report on data governance performance metrics—including data quality trends, audit findings, and issue remediation progress—providing independent oversight and actionable insights to assess control effectiveness and adherence to enterprise policies and standards.
Support internal and external audits by providing documentation and evidence of data governance controls and practices.