Risk Operations Support Manager

SouthState Bank

17d

About The Position

The Risk Operations Support Manager leads operational governance activities supporting SouthState’s Model Risk Management (MRM) program. The role manages governance processes, related technology and data initiatives, and a team responsible for maintaining consistent, timely, and well-documented model risk practices across the organization. The manager partners with model owners and users, business and risk stakeholders, technology teams, and senior governance committees to support effective oversight and informed decision-making. Responsibilities include coordinating MRM governance and committee activities; managing cross-functional projects; overseeing the Archer platform and related workflows; governing model risk issues, remediation, and ongoing monitoring; leading model and data documentation initiatives; coordinating model risk assessments; supporting governance of end-user computing tools and AI use cases; managing and developing direct reports; and preparing and presenting committee and senior-management materials. The role requires a bachelor’s degree in a relevant field or an equivalent combination of education and relevant experience, along with at least seven years of relevant experience. Advanced education, leadership experience, committee or regulatory reporting experience, and professional certifications are preferred but not required. The position requires strong knowledge of model risk governance, project management, analytics and reporting, communication, and people leadership.

Requirements

Bachelor’s degree in risk management, finance, business, data analytics, information systems, or a related field, or an equivalent combination of education and relevant experience.
Seven or more years of relevant experience in model risk management, risk governance, banking risk management, project management, data governance, or a related discipline.
Strong knowledge of model risk management and model governance concepts, including model inventories, risk assessment methodologies and scoring, documentation, issue management, validation governance, and ongoing monitoring.
Working knowledge of artificial intelligence governance and ability to evaluate AI use cases through established governance, risk assessment, and committee review processes.
Working knowledge of Archer or a comparable governance, risk, and compliance platform, including workflow oversight, reporting, data quality, and enhancement coordination.
Proficiency with Power BI and Microsoft Office tools, and ability to develop dashboards, metrics, committee materials, and management reporting.
Strong project management skills, including organizing complex work, managing competing priorities, tracking dependencies, and driving timely completion across stakeholders.
Ability to interpret governance requirements and translate them into practical processes, controls, and documentation expectations.
Strong written and verbal communication skills, including preparing concise executive-level materials and presenting to committees and senior leaders.
Demonstrated leadership and people-management skills, including coaching, workload prioritization, performance support, and team-member development.
Strong analytical judgment, attention to detail, problem-solving ability, and commitment to accurate, complete, and auditable records.
Ability to build productive relationships with model owners, business units, independent risk teams, technology partners, internal audit, and other control functions.
Familiarity with banking operations, regulatory expectations for model risk management, end-user computing governance, AI governance, and data documentation or lineage practices.
Ability to communicate in person, by phone, and through electronic channels; frequently use a computer, including typing and sustained attention to a monitor; sit, walk, and/or stand for extended periods; and bend and reach.

Nice To Haves

Advanced degree.
Three or more years of leadership, people management, or significant team-lead experience.
Experience supporting governance committees, senior management reporting, or regulatory and audit activities.
PMP, FRM, CRM, data governance, or related professional certification.

Responsibilities

Lead and coordinate Model Risk Management governance activities, including standards, procedures, committee support, inventory governance, and program reporting.
Manage MRM projects and cross-functional initiatives, including planning, requirements, milestones, risks, dependencies, stakeholder communication, and implementation follow-through.
Oversee the Archer platform and related MRM workflows, data quality, user requirements, reporting, enhancements, access coordination, and issue resolution in partnership with technology and platform teams.
Manage model risk issues and remediation governance, including tracking, aging, escalation, status reporting, evidence review, and preparation for closure consideration.
Oversee ongoing monitoring governance to support timely completion, consistent standards, escalation of exceptions, and clear reporting of model performance and control results.
Lead model and data documentation initiatives, including documentation standards, inventories, data lineage and source information, governance records, and coordination with model owners.
Coordinate and help score model risk assessments, including risk identification, tiering and classification support, inventory maintenance, and periodic review activities.
Support governance of end-user computing tools and artificial intelligence use cases, and represent Model Risk Management on the AI Governance Advisory Review Committee.
Manage and develop direct reports.
Prepare materials, dashboards, metrics, and presentations for the Model Risk Management Committee and other senior management or governance forums; present topics as assigned.
Take ownership of tasks and challenges encountered in the operation of the assigned position.