Director of Artificial Intelligence Governance (Remote)
Remote Worker, United States
Full Time Executive-level / Director USD 130K - 208K
SouthState Bank
The SouthState story is one of steady growth, deep community roots, and an unwavering commitment to helping our customers move forward. Since our beginnings in the 1930s to becoming a trusted financial partner across the South and beyond - we are known for combining personal relationships with forward-thinking solutions.
We are committed to helping our team members find their success while maintaining the integrity of our values: building trust, fostering lasting relationships and pursuing excellence. At SouthState, individual contributions are recognized, potential is cultivated and team members are inspired to achieve their greater purpose. Your future begins here!
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.
In accordance with Colorado law: Colorado pay for this position is anticipated to be between $130,276.00 - $208,104.00 , actual offers to be determined based on applicant’s skills, experience and education.While the anticipated deadline for the job posting is 08-02-2025, we encourage you to submit your application as we may still consider qualified candidates beyond this date.Tags: AI governance AI strategy Azure CDMC Computer Science Data governance DataRobot KPIs Machine Learning ML models Privacy Responsible AI Testing
Perks/benefits: Career development Transparency
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.