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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in technology risk management, particularly in machine learning and generative AI, with a strong focus on risk assessments, governance, and compliance. Capable of translating complex technical risks into actionable insights while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Technology Risk ManagementMachine Learning Risk AssessmentsAI Governance PoliciesModel Risk ManagementStrong Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Risk AssessmentModel TrainingData GovernanceCloud-Based InfrastructureAI TechnologiesGenerative AI SolutionsValidation MethodsPerformance MonitoringRisk MetricsControl Frameworks
Soft Skills
Analytical SkillsAttention to DetailCollaborationIndependent JudgmentCommunication Skills
Industry Keywords
Emerging TechnologiesResponsible AI PrinciplesCybersecurityData RiskThird-Party Risk ManagementRegulatory GuidanceBest PracticesRisk Appetite FrameworkTechnical RisksFast-Paced Technology Environments
Tech Stack
Tools & technologiesCloudCyber Security
About the role
Key responsibilities & impact- Identify, assess, and manage technology risks associated with machine learning, generative AI, and emerging technologies
- Execute risk assessments, provide independent review and challenge, and partner with technology, data science, product, and business teams to ensure AI and machine learning solutions are safe and compliant
- Translate complex technical risks into clear, actionable insights and embed effective controls throughout the AI and machine learning lifecycle
- Partner with second-line enterprise risk and application teams to define, document, and build machine learning and AI governance policies, processes, controls, and governance tools
- Execute technology risk assessments for machine learning, generative AI, and advanced analytics solutions across the design, development, deployment, and monitoring phases
- Perform independent risk review and challenge of AI and machine learning models, including data sourcing, training approaches, validation methods, and ongoing performance monitoring
- Support the establishment and ongoing execution of AI and machine learning risk governance, standards, and control frameworks aligned with the Enterprise Risk Appetite Framework
- Partner with engineering, data science, product, and business teams to identify risks and embed effective controls into AI and machine learning systems and processes
- Assess and support the management of third-party and vendor risks associated with AI platforms, tools, models, and data sources
- Prepare clear and concise risk documentation, assessments, and recommendations for review by the Senior Manager and risk governance forums
- Monitor emerging regulatory guidance, industry standards, and best practices related to AI, model risk, and responsible AI
- Contribute to risk metrics, reporting, and materials presented to leadership, risk committees, and second-line partners
- Exercise independent judgment when conducting technology and AI and machine learning risk assessments within established frameworks
- Provide risk recommendations, control feedback, and issue identification to the Senior Manager, Technology Risk
- Escalate significant risks, control gaps, or issues in accordance with defined risk thresholds
- Contribute analysis and recommendations related to risk acceptances without holding formal approval authority
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Risk Management, or a related field
- A minimum of 7 years of experience in technology risk, model risk management, cybersecurity, data risk, or a related discipline
- Hands-on experience performing risk assessments for machine learning and/or generative AI solutions
- Solid understanding of model and agent development on cloud-based infrastructure
- Experience partnering with engineering and data science teams in fast-paced technology environments
- Strong understanding of AI and machine learning technologies, including large language models, model training, validation, and deployment
- Knowledge of responsible AI principles, model risk management, and data governance practices
- Ability to independently assess and challenge complex technical risks using sound judgment
- Strong written and verbal communication skills, including the ability to explain technical risks to non-technical audiences
- Strong analytical skills, attention to detail, and comfort working with ambiguity
- Proven ability to collaborate effectively across technology, risk, and business teams.
Benefits
Comp & perks- Medical, dental, vision and life insurance
- Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
- Tuition reimbursement up to $5,250/year
- Business-casual environment that includes the option to wear jeans
- Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
- Paid volunteer time — 16 hours per calendar year
- Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
- Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.