Top AI & Machine Learning Jobs in New York City, NY

Lead product strategy and delivery for enterprise workflows (Finance, HR, Legal) by embedding AI, agentic capabilities, automation, and orchestration. Partner with business and tech leaders to prioritize high-impact opportunities, standardize platforms and operating models, establish governance and metrics, and scale secure, measurable solutions across global teams.

Lead enterprise AI and data strategy, partnering with Technology and People leaders to define roadmaps, translate business priorities into AI/data initiatives, govern adoption, measure success, and drive scalable, responsible implementation across the company.

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 enterprise AI and data strategy for Technology and People & Capabilities, translating business priorities into deliverable AI/data initiatives. Drive governance, adoption, design practices, stakeholder engagement, success metrics, and external representation to accelerate responsible, scalable AI and data use across the organization.

Lead experience strategy and design systems for an enterprise Data & AI Platform. Define UX across developer platforms, data products, analytics, observability, and agentic AI interfaces. Build scalable enterprise design system and AI/agentic experience standards, improve data product discoverability, and partner with engineering, architecture, AI/ML, governance, and product teams to operationalize reusable UX components.

Lead AI and data strategy for Open Finance, partnering with product, technology, and regulatory teams to translate priorities into responsible AI/data initiatives. Drive governance, data sharing, and adoption across products, evaluate third-party capabilities, measure impact, and represent Mastercard externally. Build cross-functional alignment and operating models to enable scalable, compliant AI-driven product innovation and risk-managed data use.

The Director, AI & Advanced Data Learning oversees the learning strategy for advanced AI and data roles, ensuring alignment with Mastercard's technology needs. This role focuses on skill development, designing practical learning experiences, and measuring the impact on technical teams' performance.

Lead design, development, and operation of production-grade agentic AI systems (multi-agent, multi-tool) to automate Services processes. Define safe tool-use patterns, observability, evaluation metrics, and drive cross-functional adoption and operational readiness.

The Director will create and manage an advanced learning agenda for AI and data capabilities, focusing on technical skill development for engineers and data scientists, ensuring alignment with real-world applications and industry needs.

The Director will design and implement intelligent autonomous systems using agentic frameworks and large language models, leading architecture and delivery from build to production. The role includes team leadership following initial launch.