Director of Artificial Intelligence Governance (Remote)

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SUMMARY/OBJECTIVES

It is the responsibility of the Director of AI Governance to take ownership of all tasks and challenges that they encounter in the operation of their assigned position. As an experienced and visionary Director of Artificial Intelligence (AI) Governance, this role will develop, lead, and scale our bank's enterprise AI governance framework. This role will be instrumental in establishing the policies, controls, and oversight mechanisms needed to safely and responsibly deploy AI technologies across the bank's operations. The ideal candidate will also play a strategic role in shaping the bank's AI roadmap, driving responsible use case evaluation, and guiding the onboarding of AI-enabling technologies in collaboration with key stakeholders.

ESSENTIAL FUNCTIONS

AI Governance Framework Development

• Assist in the design and implementation of the bank's AI governance operating model aligned with regulatory expectations, internal policies, and ethical standards.

• Define roles and responsibilities across the first, and second lines of defense for AI lifecycle oversight.

• Establish risk-based policies, standards, and procedures for AI and machine learning (ML) model development, deployment, and monitoring.

AI Strategy & Use Case Oversight

• Provide guidance in the strategic planning process of the AI adoption across business units, ensuring alignment with the bank's digital transformation goals and risk appetite.

• Help create a structured use case intake and evaluation framework to assess potential AI projects for value, risk, feasibility, and compliance.

• Guide cross-functional reviews of AI use cases, ensuring appropriate second-line challenge and business case validation.

• Help define success criteria, KPIs, and risk acceptance conditions for experimental and production AI use cases.

Technology Enablement & Onboarding

• Partner with IT and Vendor Management to evaluate, select, and onboard AI-enabling technologies (e.g., model development platforms, governance tools, explainability and fairness testing tools).

• Ensure technology onboarding aligns with governance standards, cybersecurity requirements, and third-party risk policies.

• Maintain awareness of emerging AI vendors, platforms, and tools and their applicability to financial services operations.

Regulatory Compliance & Risk Management

• Ensure compliance with evolving regulatory frameworks such as: OCC Bulletin 2011-12 / SR 11-7 (Model Risk Management), FFIEC AI & ML guidance, NIST AI RMF, EU AI Act (as applicable).

• Lead risk assessments for AI use, addressing model bias, explainability, data privacy, cyber risk, and operational impact.

• Control monitoring and testing

AI Ethics and Responsible Use

• Promote responsible AI principles: transparency, fairness, accountability, human-in-the-loop oversight.

• Develop methods to monitor AI model behavior over time, including bias detection, drift monitoring, and ethical safeguards.

Training & Awareness

• Work with corporate and cyber training to build an awareness of AI governance policies through enterprise-wide training and communication programs.

• Educate stakeholders on the roles and expectations in AI adoption and oversight.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

COMPETENCIES

• Strategic and pragmatic leader who can balance innovation with control.

• Ability to drive enterprise change while embedding trust and accountability in AI systems.

• Skilled at navigating complex regulatory landscapes and managing emerging risks.

• Capable of translating technical AI concepts for executive and regulatory audiences.

Qualifications, Education, and Certification Requirements

• Education: Bachelor's degree in Data Science, Computer Science, Risk Management, Law, or a related field.

• Master's degree (MBA, JD, or MS in AI/Data Science) is preferred

• Experience: 1-2 years developing an AI Gov Program. 5+ years of experience spanning model governance, technology risk, data governance, or compliance within financial services.

• Certifications/Specific Knowledge: Certifications such as CRCM, CRISC, CDMC, AIGP or AI-specific governance credentials by leading credential bodies such as ISACA, ISC2, IAPP, SANS is preferred.

• Demonstrated experience designing or overseeing AI/ML use cases in an enterprise environment.

• Deep understanding of regulatory and ethical issues surrounding AI deployment.

• Proven ability to evaluate, adopt, or oversee AI tools and platforms, including experience in model validation and monitoring.

• Strong stakeholder engagement skills and ability to influence cross-functional decision-making.

• Familiarity with leading AI platforms (e.g., DataRobot, H2O.ai, Azure ML, IBM Watson, ModelOp) is preferred

• Experience with technology onboarding, and integration governance is preferred.

TRAINING REQUIREMENTS/CLASSES

Required annual compliance training, New Employee Orientation

PHYSICAL DEMANDS

Must be able to effectively access and interpret information on computer screens, documents, reports, and cash denominations, and identify customers. This position requires a large amount of time in front of a computer. This can be done sitting or standing with use of the right desk. This position may require bending and reaching.

WORK ENVIRONMENT

For telecommuters or hybrid: Telecommuting roles no matter if hybrid or 100% full time telecommuting must have a secure home office environment that is free from background noise and distractions. They must also have a reliable private internet connection that is not supplied by use of cellular data (hot spot). Cable or fiber connections are preferred. Requirements are subject to change, as new systems and technology is delivered.

TRAVEL

Travel may be required to come to meetings as needed.

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