Top AI Ethics Jobs in NYC, NY

Lead execution of Responsible Use of AI (RUAI) approvals and AI risk oversight. Coordinate cross-functional reviews, assess and document AI risks, improve governance tools/workflows, and escalate material issues to leadership. Engage use case owners, vendors, and control partners to ensure compliance with AI regulatory and control frameworks.

Lead UX research to define and scale evaluation of Notion's AI experiences. Create reusable rubrics and measurement approaches, run longitudinal and feature-specific studies, identify failure modes and recovery behaviors, and operationalize evaluation with product, design, engineering, and data science partners to improve model output quality and end-to-end user experience.

As a Senior Data Scientist, you'll lead AI risk assessments, manage compliance, and evaluate AI system behavior, ensuring safe deployment across banking use cases.

Lead AI and data strategy for Open Finance, translating product priorities into AI/data initiatives, ensuring governance and regulatory compliance, advising on capability adoption, and representing Mastercard externally. Drive cross-functional execution, measure impact, and foster responsible AI, data practices, and organizational readiness across products, platforms, and partnerships.

Lead AI risk assessments for Generative AI and LLM use cases, ensuring compliance and safe deployment while collaborating with stakeholders across various departments.

Lead AI product ownership and people enablement for the AI Hub, driving adoption, designing upskilling and training programs, delivering engagement campaigns and events, communicating progress to senior stakeholders, coaching teams, and monitoring industry AI trends to inform strategy in financial services.

Lead strategy and execution for agentic AI product experiences across the DFIR portfolio. Define roadmaps, ship reliable and governed agentic features, drive adoption and growth, instrument metrics and experiments, run continuous discovery, and collaborate cross-functionally to ensure trustworthy, scalable AI-native products.

Provide legal advice and governance for firm-wide AI initiatives, partnering with IT, security, procurement, and business teams. Advise on data use, privacy, IP, confidentiality, vendor contracts, and regulatory developments; develop policies, training, and standards to enable responsible AI adoption and mitigate operational, legal, and reputational risk.

Provide compliance coverage for the Engineering division with a focus on AI governance and controls. Coordinate regulatory responses, develop AI governance frameworks, perform risk assessments, testing, surveillance and investigations, and deliver training. Advise and challenge engineering and business stakeholders, partner globally on technology regulatory requirements, and support policy and compliance program development.

Lead audits of AI, data and digital risk frameworks; assess AI governance, identify gaps and risks, recommend improvements, evaluate third-party AI vendors, and produce actionable audit reports for senior leadership and regulators.