Artificial Intelligence Data Governance Officer

Northwest Bank

Bank AI Governance Officer managing enterprise AI use-case oversight, model risk, controls, and regulatory compliance. Coordinating governance workflows, reporting, audits, and responsible AI innovation across the institution.

Posted 8/5/2026full-timeIndependence • Ohio, Pennsylvania • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI governance, risk management, and compliance, with a strong ability to assess AI/ML implementations and develop governance frameworks. Proficient in coordinating cross-functional teams and communicating complex AI risks to diverse stakeholders.

Highest-signal resume keywords

AI GovernanceRisk ManagementAI/ML EvaluationRegulatory ComplianceModel Risk Management

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Hard Skills

AI Risk AssessmentGovernance Framework DevelopmentData AnalysisModel Validation MethodologiesRisk Metrics Development

Soft Skills

Stakeholder CommunicationInfluencing SkillsTeam CollaborationJudgment in Ambiguous Situations

Tools & Technologies

ArcherMicrosoft OfficeDecision-Support Systems

Certifications & Qualifications

CISACRISCFRMCTPRPAI Governance Certifications

Industry Keywords

AI Risk GovernanceFinancial InstitutionEmerging TechnologiesCompliance StandardsModel Risk Oversight

About the role

Key responsibilities & impact

Administer the Bank’s enterprise AI risk governance framework and supporting procedures.
Coordinate AI use-case intake, assessment, classification, and governance activities across business lines and corporate functions.
Serve as coordinator for the AI Working Group, preparing agendas and meeting materials, maintaining decision logs, and tracking action items.
Maintain the enterprise inventory of AI use cases and governance records.
Assess AI implementations and determine applicable governance requirements and control expectations.
Develop management reporting and dashboards covering AI inventory, approvals, issues, and emerging risks.
Monitor compliance with AI governance standards and escalate material issues to executive leadership.
Promote awareness of AI governance requirements throughout the institution.
Develop and maintain enterprise AI risk policies, standards, and procedures.
Serve as a senior Model Risk team member and delegate of the Chief Model Risk Officer for model approvals and issue closures.
Research and evaluate emerging modeling techniques, including AI/ML, and assess applicability and risk implications.
Enhance the model risk management framework, including validation methodologies, documentation standards, and governance practices.
Review academic and industry research, summarize insights, and propose practical applications for model risk oversight and innovation.
Interpret evolving AI regulatory expectations and translate them into practical governance requirements.
Coordinate regulatory examinations, audits, and independent reviews of AI governance.
Participate in enterprise initiatives involving emerging technologies and advanced analytics.
Own the design, implementation, and enhancement of governance workflows within Archer or similar systems.
Recommend customer service enhancements.

Requirements

What you’ll need

Bachelor’s degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.
Master’s degree in a related discipline is listed.
8–12 years of experience in a financial institution or consulting environment, with demonstrated exposure to AI governance.
3–5 years of experience evaluating or governing AI/ML use cases across the lifecycle, including pre-implementation assessment, control design, and post-deployment monitoring.
Experience with generative AI, machine learning, or decision-support systems.
Understanding of AI/ML risks, including bias, explainability, data dependency, and automation risk.
Experience supporting or interacting with internal audit, regulators, or independent model review functions.
Ability to apply risk-based judgment in ambiguous situations.
Ability to analyze complex AI/ML concepts and communicate risks, limitations, and trade-offs to technical and non-technical stakeholders.
Ability to challenge and influence business and technology stakeholders on risk identification, control design, and governance outcomes.
Ability to identify patterns, emerging risks, and systemic issues across multiple AI use cases.
Ability to make governance decisions regarding classification, control requirements, and escalation thresholds.
Ability to coordinate cross-functional governance processes across Risk, Technology, Compliance, Legal, and Business teams.
Ability to develop and interpret risk metrics, monitoring outputs, and performance indicators for AI systems.
Licenses and certifications listed: CISA, CRISC, FRM, CTPRP, and relevant AI governance certifications.
Ability to navigate Microsoft Office software, computer applications, and department-specific software.
Ability to work as part of a team.
Ability to work with on-site equipment.

Benefits

Comp & perks

Competitive compensation and benefits
Professional development opportunities
Employee recognition and regularly celebrating wins
Inclusive work environment
Equal opportunity employer