AI Solutions Gvrnce Spec,Sr

Overview

 

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. 

 

We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance.  401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization.  We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.

Responsibilities

Serves as the operational leader of the AI Center of Excellence (AI CoE) governance function within the Transformation Office, responsible for administering the enterprise AI Governance Program across the full AI lifecycle. This role owns the day-to-day execution of AI classification, capability assessment, inventory management, and governance committee facilitation — ensuring the Bank’s use of AI is governed proportionate to risk, aligned with regulatory expectations, and visible to stakeholders at all levels. The individual administers governance reviews across all AI capability types, including third-party vendor-provided services, in-house developed solutions, and enterprise platform systems. This role partners closely with internal risk functions — including Information Security, Data Governance, Model Risk Management, Third-Party Risk Management, and Compliance — to ensure AI governance aligns with enterprise risk expectations. The role requires a blend of AI and technology fluency, risk management acumen, and the ability to drive cross-functional governance processes with rigor and efficiency.

 

Salary Range

The salary range for this position is $100,400/Yr. - $203,000/Yr.. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate’s relevant skills and professional experience, educational qualifications, and geographic location.

 

Key Accountabilities

· Administer the AI classification process for all AI-involved intake requests across the Bank’s tiered classification framework, including Vendor Embedded AI, AI Platform Services, AI Platform Systems, Platform System Use Cases, and Fourth-Party AI Tools

· Conduct capability assessments aligned to NIST AI 600-1 across 15 GenAI capabilities mapped to cybersecurity core functions (Govern, Identify, Protect, Detect, Respond/Recover) to evaluate risk profile and governance readiness

· Evaluate inherent risk for Platform System Use Cases across five risk factors: data sensitivity, user audience, decision impact, consequence of error, and regulatory scope

· Administer governance reviews for third-party vendor-provided AI services, in-house developed AI solutions, and enterprise AI platform systems — applying the appropriate assessment depth and approval path for each classification tier

· Prepare assessment scorecards, decision recommendations (YES / NO / CONDITIONAL YES), and supporting materials for the AI Advisory Council and AI Oversight Committee

· Track conditional approvals through completion and ensure pre-deployment requirements are satisfied before granting final authorization for Platform System Use Cases

· Maintain the formal Enterprise AI Inventory as the authoritative record of all AI capabilities, including ownership, governance status, risk profile, and technical details

· Conduct reconciliation between the AI Inventory and Application Portfolio Management (APM) records at key lifecycle stages, engaging Business and IT Owners to resolve discrepancies

· Coordinate with the enterprise Change Initiatives Program (CiPT) and Enterprise Architecture team to ensure AI-involved requests are identified and routed appropriately

· Partner with Business Owners and IT Owners throughout classification and assessment to solicit and review all necessary capability documentation

· Coordinate with internal risk partners — Information Security, Data Governance, Model Risk Management, Third-Party Risk Management, and Compliance — to ensure AI governance aligns with enterprise risk expectations and Second Line of Defense standards

· Facilitate material change re-assessments when scope, data, model, or audience changes are identified, and document rationale for re-approval determinations

· Develop and maintain assessment methodologies, templates, scoring frameworks, and supporting governance documentation

· Maintain the AI OneStop SharePoint site as the central resource for approved AI capabilities, acceptable use guidance, governance expectations, and enablement content

· Update the published list of approved AI capabilities monthly and provide instructions for team members to report instances of unapproved AI in use

· Support the annual review and update of the AI Governance Program in coordination with the AI Oversight Committee

· Ensure all AI governance activities operate within the Bank’s risk appetite and align with applicable regulatory requirements

· Support regulatory examination and audit readiness by maintaining defensible records of AI use, governance decisions, and risk assessments

 

Key Competencies for Position

· Risk & Governance Acumen – Deep understanding of risk management frameworks, regulatory expectations, and governance structures within financial services; ability to apply governance rigor proportionate to the risk profile of each AI capability

· Strategic and Analytical Thinking – Applies enterprise-level perspective and data-driven insight to evaluate complex AI capabilities, assess risk, and make sound governance recommendations

· Promotes Change – Champions responsible AI adoption while maintaining governance discipline; enables innovation by ensuring governance facilitates rather than impedes responsible use

· Makes Decisions & Solves Problems – Applies analytical rigor to classification decisions, risk assessments, conditional approval tracking, and governance process improvements

· Compelling Communication – Translates technical AI concepts and risk findings into clear, actionable recommendations for governance committees, senior leadership, and cross-functional stakeholders

· Cross-Functional Collaboration – Navigates effectively across technology, risk, compliance, and business teams to drive governance outcomes and maintain alignment with Second Line of Defense expectations

· Personifies ONB Culture – Demonstrates curiosity, accountability, integrity, and a commitment to responsible innovation

 

Qualifications and Education Requirements

Education

· Bachelor’s degree in Technology, Computer Science, Information Systems, Risk Management, Business, or related field (required)

 

Professional Experience

· 5+ years of progressive experience in AI/technology governance, technology risk management, IT audit, or a related discipline within a regulated industry

· 3+ years of direct experience working with AI or machine learning technologies — including implementation, oversight, risk assessment, or governance of AI systems

· 2+ years of experience with a risk management, compliance, or governance function — such as model risk management, technology risk, information security, or regulatory compliance

· Demonstrated ability to develop and administer governance frameworks, assessment methodologies, or control programs

· Proven experience preparing materials for and presenting to governance committees or senior leadership

· Experience coordinating across multiple stakeholder groups (business, technology, risk, compliance) to drive governance outcomes

 

Technical and Domain Expertise (Required)

· Strong understanding of AI and machine learning concepts, including generative AI, large language models, foundation models, and conversational AI

· Ability to evaluate AI capabilities across dimensions of data sensitivity, decision impact, regulatory scope, and technical architecture

· Understanding of the three lines of defense model and how AI governance integrates with enterprise risk management

· Proficiency in managing inventories, tracking governance workflows, and maintaining audit-ready documentation

· Strong analytical skills to evaluate business processes, risk profiles, and translate findings into governance recommendations

 

Technical and Domain Expertise (Preferred – May Develop on the Job)

· Working knowledge of AI risk frameworks (e.g., NIST AI RMF, NIST AI 600-1) and their application to enterprise governance

· Familiarity with AI platforms such as AWS Bedrock, Microsoft Copilot, or similar enterprise AI infrastructure

· Experience with model risk management practices and regulatory expectations for AI in banking

· Knowledge of relevant banking regulations (GLBA, Fair Lending, BSA-AML, ECOA) as they relate to AI use

· Experience with governance, risk, and compliance (GRC) tools and processes

 

Knowledge to be Developed in Role

The following areas represent knowledge the individual will be expected to develop through onboarding, mentorship, and hands-on experience to perform effectively in this role:

· AI Monitoring Practices – Develop proficiency in post-deployment observability and monitoring methodologies for AI capabilities, including performance monitoring, drift detection, output quality evaluation, and compliance adherence tracking as the Bank’s monitoring framework matures

· Old National AI Governance Program – Gain deep working knowledge of the Bank’s AI Governance Program, including the classification framework, capability assessment methodology, lifecycle stages, approval workflows, and inventory management processes

· NIST AI 600-1 Assessment Framework – Build applied expertise in the 15 GenAI capabilities mapped to cybersecurity core functions (Govern, Identify, Protect, Detect, Respond/Recover) used in the Bank’s capability assessment methodology

· Internal Risk Partner Processes – Develop working relationships and process knowledge with each internal risk partner function, including Information Security and Technology Risk Management (ISTRM), Data Governance, Model Risk Management (MRM), Third-Party Risk Management (TPRM), and Compliance, to understand their standards, review expectations, and how AI governance intersects with each

· Enterprise Governance Ecosystem – Learn how the AI Governance Program integrates with the Change Initiatives Program (CiPT), Software Development Lifecycle (SDLC) Program, Application Portfolio Management (APM) Program, and other enterprise governance processes

· AI Oversight Committee & Advisory Council Operations – Develop fluency in committee cadence, materials preparation, decision documentation, and escalation protocols to effectively support governance decisioning

· Platform System Architecture – Build understanding of the Bank’s AI platform hierarchy (Platform, Product, Use Case) and how governance operates at each level, including the technical architecture of platforms such as AWS Bedrock

· Regulatory Landscape for AI in Banking – Develop awareness of evolving regulatory expectations for AI in financial services, including guidance from banking regulators and how it translates to governance program requirements

· Incident and Issue Management – Learn the Bank’s incident response and issues management processes as they relate to AI capabilities, including escalation paths and coordination with the IT Risk Office

 

Key Measures of Success/Key Deliverables:

· Maintain a current, accurate, and audit-ready Enterprise AI Inventory with full lifecycle tracking for all AI capabilities

· Complete classification and capability assessments within established SLAs, enabling timely AI Oversight Committee decisioning

· Ensure all deployed AI capabilities have completed the governance lifecycle with appropriate approval

· Deliver clear, well-supported assessment scorecards and risk recommendations that enable informed committee decisions

· Maintain alignment between the AI Inventory and APM records with discrepancies resolved within defined timeframes

· Support successful regulatory examinations and internal audits related to AI governance with complete, defensible documentation

· Continuously improve governance methodologies, templates, and processes based on lessons learned and evolving regulatory expectations

· Maintain strong working relationships with internal risk partners to ensure AI governance remains aligned with enterprise risk expectations

 

 

Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. 

 

As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law. 

 

We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position.

 

Our culture is firmly rooted in our core values.

We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical.

We are Old National Bank.  Join our team!