Senior Risk Analyst - Risk Management

Alternate Locations: Radnor, PA (Pennsylvania); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina); Hartford, CT (Connecticut); Omaha, NE (Nebraska)

 Work Arrangement:

Hybrid : Employee will work 3 days a week in a Lincoln office

Relocation assistance:  is not available for this opportunity.

Requisition #: 75227

The Role at a Glance

This position will be responsible for implementing AI Governance frameworks, developing standards, and leading complex, cross-functional AI Risk Assessments to ensure responsible AI practices across the enterprise. They will provide direction and guidance to stakeholders concerning AI risks (particularly risks that create reputational and disparate consumer impact risks) based on risk assessment findings and adherence to applicable procedures, regulations, and/or laws. This role requires a collaborator who can conduct verbal risk assessments, translate technical and policy concepts into accessible language, foster understanding, and remain approachable and solution-oriented in high-stakes or nuanced discussions.

What you'll be doing

•Leads complex inherent risk assessments of internally and externally developed AI use cases and systems which includes documenting risks, mitigating controls and control improvements
•Design, document, and implement non-technical AI governance controls, procedures, and standards to mitigate prioritized risks and ensure that processes and procedures align with organizational policies and regulatory requirements
•Assists in creating and enforcing AI Risk Governance standards, policies and procedures
•Present and prepare presentations, reports, and updates for leadership, audit and external stakeholders on various AI governance topics as needed.
•Lead cross-functional working groups with Legal & Compliance, Privacy, InfoSec, Model Risk, Procurement, and business/product teams to embed Responsible AI practices throughout the AI development lifecycle.
•Manage the enterprise AI inventory, data quality control, tool support; and record pertinent documentation and communications for all assessments
•Own remediation plans for material issues, communicates recommended remediation plans, and drive accountability with business and technology owners
•Coach and mentor analysts; perform quality reviews of assessments and artifacts; elevate team capability through training and reusable templates, checklists, and automation opportunities.
•Drive continuous improvement initiatives to increase efficiency, reduce cycle time, and improve stakeholder experience.
•Conduct research on industry best practices, emerging regulations (e.g., NIST AI RMF), and advancements in AI risk management.

What we’re looking for

• 4 Year/Bachelor's degree or 4 years equivalent work experience in lieu of Bachelor's (Minimum Required)
• 5–8+ years in risk management, compliance, information security, IT audit, privacy, model risk, legal or related field that directly aligns with the specific responsibilities for this position. (Required)
•Exceptional communication skills (written and verbal) and time-management skills, with the ability to collaborate across diverse teams, solve complex problems with limited supervision, and have meticulous attention to detail. 
•Demonstrated strong relationship management skills with internal clients (e.g. senior management, peers and colleagues); proven ability to develop creative and collaborative approaches.
•Experience in compliance and controls from related disciplines such as cybersecurity or third-party risk management
•Self-starter approach with the ability to operate with minimal supervision
•Ability to analyze complex information and to evaluate the implications of a course of action or solution.
•Experience interpreting and operationalizing regulatory/standards frameworks
•Strong project management skills with the ability to coordinate and balance multiple tasks effectively
•Proactive mindset with strong initiative, ability to self-learn, and capacity to analyze various documents (e.g., technical procedures, governmental regulations, policies, and proposals) while exercising sound judgment in handling confidential information. 
•Working knowledge of the AI/ML lifecycle, data protection, model governance, bias/fairness considerations, and responsible AI practices (preferred)
•Experience with governance platforms, MRM tooling, workflow/case management tools, and M365 suite (preferred)
•Familiarity with the evolving AI regulatory landscape, including frameworks such as the NIST AI Risk Management Framework, NAIC Model AI Bulletin, and state-level AI laws. (preferred)

Application Dead