Lead AI Risk Advisor

Bread Financial•Columbus, OH

1d•Hybrid

About The Position

Every career journey is personal. That's why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here. Job Summary The Lead Artificial Intelligence (AI) Risk Advisor is a senior SLOD practitioner within Risk Management responsible for leading cross-functional AI governance and risk initiatives. This role will facilitate complex risk reviews, mentor junior team members, and drive improvements in the AI control framework, including monitoring and reporting capabilities supporting audit and regulatory readiness.

Requirements

High School Diploma or GED.
8+ years of experience in risk management, audit, governance, compliance oversight, control oversight, or other related disciplines at a financial service firm (or other highly regulated industry).
Project Management
Governance
Regulatory
Risk Assessment
Stakeholder Coordination
Business Automation
Communication skills

Nice To Haves

IAPP AI Governance Professional Certificate.
ISO/IEC 42001 Foundation/Lead Implementer.
CertNexus CAIP (Certified Artificial Intelligence Practitioner).
AAIR™ Certification, ISACA Advanced in AI Risk™.
AAISM™ Certification, ISACA AI Security Management.
AAIA Certification, ISACA Advanced in AI Audit.
Experience in risk management, audit, governance, compliance oversight, control oversight, or other related disciplines.

Responsibilities

Oversee departmental projects and initiatives focused on AI governance maturity, control enhancement, automation, and process optimization; manage timelines and deliverables. - (25%)
Facilitate cross-functional risk credible challenge reviews, lead assessment workshops, challenge sessions, and risk-acceptance discussions aligned to risk appetite. - (20%)
Collaborate on technology initiatives by partnering with Technology, Cybersecurity, Data Governance, and Model Risk to ensure that first line embeds AI controls early in the lifecycle. - (20%)
Design KRIs and monitoring measures (inventory completeness, drift detection, HITL effectiveness, bias testing coverage). - (15%)
Author executive summaries and committee-ready narratives translating technical analyses into business impact. - (10%)
Mentor junior associates and provide coaching, shadowing, and review feedback to strengthen team capability in AI risk practices. - (5%)
Champion continuous improvement and identify innovation opportunities and advocate automation where feasible. - (5%)