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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in operational risk management, AI governance, and compliance frameworks, with a strong focus on strategic planning and stakeholder collaboration. Proven ability to lead cross-functional teams and develop effective risk management strategies in alignment with regulatory requirements.
Highest-signal resume keywords
Operational Risk ManagementAI GovernanceRegulatory ComplianceProject ManagementStrategic Planning
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML TechnologiesModel Risk ManagementData GovernanceAI Lifecycle ManagementGovernance Framework DevelopmentRisk AssessmentPolicy DocumentationMetrics MonitoringRisk Indicator DevelopmentRegulatory Reporting
Soft Skills
Interpersonal SkillsConflict ManagementNegotiation SkillsRelationship BuildingAttention to Detail
Tools & Technologies
NIST AI RMFGovernance Risk Management ToolsCompliance Management Systems
Industry Keywords
Financial ServicesRisk ManagementAI RegulationsOperational ControlsBusiness Continuity Management
Tech Stack
Tools & technologiesCyber SecurityReact
About the role
Key responsibilities & impact- Lead and impose the framework for responsible, secure, compliant, and effective use of artificial intelligence
- Provide executive-level oversight of AI strategy, risk management, governance, and operational controls
- Partner with senior leadership, Segment Risk, Specialty Risk, Technology, Legal, Compliance, Cybersecurity, Privacy, Risk, Data, Vendor, and Business stakeholders
- Maintain policy and governance documentation
- Facilitate the US AI Governance Risk Committee with the Chair
- Establish an AI control inventory
- Monitor higher-risk AI applications, models, and use cases
- Monitor emerging AI legislation, regulations, standards, and industry expectations
- Measure and monitor operating metrics, issues, remediation progress, and key risk indicators
- Escalate issues through established channels
- Develop second-line-of-defense AI use cases
- Develop or obtain AI training and awareness programs for employees, executives, and business users
- Support regulatory exams, internal audits, external assessments, and executive reporting relating to AI
- Lead operational risk analysis, reporting, risk programs, controls, standards, policies, and processes
- Serve as a regulatory interface and advise on regulatory requirements
- Compile reports on business trends, risks, losses, and issues and recommend management action
- Lead or contribute to Risk & Control Self Assessments, Business Continuity Management, Outsourcing & Vendor Management, Regulatory Compliance, and Affiliate Transaction Governance
- Direct key risk indicator development and cross-business risk issue resolution
- Advise senior and executive management on major risk drivers and key risk indicators
- Prepare board and executive management reporting and participate in risk committees and working groups
- Educate business leaders and provide risk-management training
Requirements
What you’ll need- Bachelor's degree or progressive work experience in addition to the required experience
- 10+ years of related experience
- Expert enterprise- or group-level knowledge of operational risk management
- Previous management experience
- Ability to coach, counsel, train, and lead staff
- Strong attention to detail and ability to react to discrepancies
- Strong interpersonal, conflict management, negotiation, and relationship-building skills
- Proven project management skills for multiple large projects
- Strategic planning and process management experience
- Experience establishing and implementing effective strategies and short- and long-range plans
- In-depth knowledge of financial services processes and workflows
- Strong written and verbal communication skills
- Effective presentation skills for regulators, executive management, and the Board of Directors
- Ability to influence decisions without express authority
- Ability to analyze information and business situations and collaborate with business partners
- Travel may be required
- Strong understanding of AI/ML technologies, generative AI, Model Risk, data governance, and AI lifecycle management
- 5+ years of experience leading company-wide programs or teams
- Experience developing governance, risk, compliance, or oversight frameworks
- Experience leading responsible AI, AI governance, model risk, or enterprise AI oversight programs
- Familiarity with NIST AI RMF, model risk management standards, and emerging AI regulations
- Experience working with executive committees, Boards, regulators, auditors, or external stakeholders
Benefits
Comp & perks- Variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards
- Health and well-being benefits
- Savings and retirement programs
- Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO
- Banking benefits and discounts
- Career development
- Reward and recognition
- Regular development conversations, training programs, and performance conversations
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
- Accommodation support for applicants with disabilities