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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI product safety oversight, risk assessment, and governance, with a strong focus on compliance, transparency, and stakeholder collaboration. Proficient in translating regulatory expectations into actionable product safety requirements and maintaining comprehensive safety artifacts.
Highest-signal resume keywords
AI Product Safety OversightRisk AssessmentStakeholder EngagementAI Governance StandardsData Governance
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 ModelsData ArchitecturesAnalytics MethodologiesRisk Mitigation StrategiesControl Effectiveness MonitoringDocumentation ReviewIssue IdentificationChange ManagementAssessment TemplatesControl Evidence
Soft Skills
CoachingGuidanceCollaboration
Industry Keywords
Responsible AITechnology RiskPrivacySecurityComplianceFinancial ServicesHighly Regulated Industry
About the role
Key responsibilities & impact- Lead AI product safety oversight across design, development, deployment, monitoring, and change management activities
- Partner with product, engineering, data science, model risk, legal, compliance, privacy, security, and business stakeholders to identify risks and define required controls
- Conduct AI product safety assessments, including intake, risk tiering, control readiness, documentation review, issue identification, and escalation
- Translate AI governance standards, regulatory expectations, and enterprise policies into product safety requirements and operating procedures
- Support controls for transparency, explainability, fairness, human oversight, data quality, privacy, security, resiliency, monitoring, and accountability
- Maintain AI product safety artifacts, including assessment templates, decision records, risk summaries, control evidence, procedures, playbooks, and reporting
- Monitor product safety metrics, control effectiveness, emerging risks, and remediation actions for deployed AI capabilities
- Advise teams on safe AI design patterns, risk mitigation strategies, approval readiness, and governance expectations
- Lead cross-functional AI product safety initiatives and review deliverables for quality, completeness, and standards alignment
- Provide coaching and guidance to promote consistent adoption of AI product safety and governance practices
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field
- Minimum of 7 years of professional experience in AI and data
- Strong knowledge of AI models, data architectures, and analytics methodologies
- English language fluency required
- Preferred: Master’s degree in a relevant technical discipline
- Preferred: Experience in AI product safety, responsible AI, model governance, technology risk, data governance, privacy, security, or compliance
- Preferred: Familiarity with responsible AI principles and regulatory expectations
- Preferred: Experience engaging product, engineering, data science, risk, legal, compliance, privacy, security, and business stakeholders
- Preferred: Experience in financial services or another highly regulated industry
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- Accidental death and dismemberment coverage
- Tax-preferred savings accounts
- 401(k) plan
- At least 10 days of vacation during the first year of employment, prorated
- 10 sick days, prorated
- Paid holidays
- Defined benefit pension plan, depending on position and division
- Restricted stock units, depending on position and division
- Deferred compensation plan, depending on position and division