VP, Generative AI Risk Oversight

Synchrony

. Identify, assess, and monitor risks arising from the design, development, deployment, and operation of AI-enabled capabilities .

Posted 11/3/2026full-timeUnited StatesLead💰 $110,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI risk management, including the assessment and monitoring of risks associated with AI-enabled capabilities, while ensuring compliance with governance and regulatory standards. Proficient in developing risk assessments, control frameworks, and remediation plans tailored for AI and data-driven systems.

Highest-signal resume keywords

AI Risk ManagementModel Risk ManagementGovernance DocumentationRisk Assessment CreationCompliance in Regulated Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Risk AssessmentControl FrameworksData Leakage MonitoringBias/Fairness EvaluationPrompt Injection DefenseModel ValidationData Exfiltration PreventionAI GovernanceKRI/KPI DevelopmentIncident Response

Soft Skills

Presentation SkillsArticulation of RiskOngoing Learning

Tools & Technologies

EGRC ApplicationAI SolutionsData Classification ToolsEncryption TechnologiesSecure SDLC

Certifications & Qualifications

Risk Management CertificationCybersecurity Certification

Industry Keywords

Financial InstitutionRegulated BankOperational RiskComplianceAI Lifecycle

Tech Stack

Tools & technologies

Cyber SecuritySDLC

About the role

Key responsibilities & impact

Identify, assess, and monitor risks arising from the design, development, deployment, and operation of AI-enabled capabilities
Partner with the AI Solutions team to embed governance, controls, and assurance across the AI lifecycle
Review and assess AI, GenAI, and Agentic AI risk management practices and controls
Perform or oversee use-case, model, vendor, and process risk assessments
Document inherent and residual risk, control effectiveness, and remediation plans
Recommend GenAI and LLM safeguards for prompt/response safety, content moderation, jailbreak and prompt-injection defenses, RAG data hygiene, retrieval security, and output verification
Establish Agentic AI policies and technical controls for tool access, authorization, least privilege, action confirmation, rate limiting, sandboxing, memory management, and human approval
Define model-validation expectations for performance, robustness, bias/fairness, explainability, and drift
Coordinate with Security and Privacy teams on data classification, access control, encryption, secrets management, secure SDLC, and privacy-by-design
Maintain alignment with applicable standards, regulations, internal AI policies, and procedures
Conduct AI vendor due diligence covering security posture, data usage terms, intellectual property, and model transparency
Oversee incident response, triage, containment, communications, and lessons learned
Define and track AI risk metrics and report insights to governance forums
Deliver risk guidance and training to product and engineering teams
Ensure audit readiness, evidence collection, control testing support, and documentation standards
Perform Targeted Reviews, Concurrent Reviews, and Continuous Monitoring
Monitor business-accepted risks and provide independent assessments of risk-taking activities
Represent the 2nd Line of Defense at Technology Strategic Planning sessions, including the Responsible AI Working Group
Manage risks and issues in Synchrony’s enterprise governance application (eGRC)
Support Enterprise Risk Assessment (ERA) and Risk and Control Self-Assessment (RCSA) processes
Perform other duties and special projects as assigned

Requirements

What you’ll need

Bachelor’s degree in Risk Management, Information Systems, Computer Science, Data Science, Engineering, Mathematics/Statistics, Cybersecurity, or a related field, or equivalent practical experience
6+ years in technology risk, model risk management, information security risk, compliance, operational risk, or assurance roles in a regulated bank or financial institution
1+ years supporting AI/ML or data-driven systems in a regulated bank or financial institution, or demonstrably equivalent exposure
Working knowledge of supervised/unsupervised learning, evaluation metrics, overfitting, data leakage, bias/fairness, drift, monitoring, hallucinations, prompt injection, data exfiltration, jailbreaks, and RAG architecture basics
Familiarity with AI agents that plan and use APIs, including autonomy risks and control patterns such as scoped tools, approvals, and sandboxing
Experience creating risk assessments, control frameworks, KRIs/KPIs, and remediation plans
Ability to articulate risk in business terms and quantify impact/likelihood where possible
Strong governance documentation and presentation skills for senior stakeholders
Evidence of ongoing learning in AI risk, security, privacy, and compliance through courses, workshops, internal enablement, or certifications
Ability and flexibility to travel for business as required
Must be 18 years or older
Must have a high school diploma or equivalent
Must be willing to take a drug test, submit to a background investigation, and submit fingerprints
Must satisfy Section 19 of the Federal Deposit Insurance Act requirements
Legal authorization to work in the U.S. required
Synchrony will not sponsor employment visas for this job opening

Benefits

Comp & perks

Annual bonus based on individual and company performance
Option to work from home near one of Synchrony’s Hubs or come into an office
In-person engagement activities including business or team meetings, training, and culture events
Inclusive culture and Employee Resource Groups (ERGs)
Reasonable accommodations for applicants and employees with disabilities