Top AI Jobs in NYC, NY

Provides compliance support for a broker-dealer by coordinating compliance programs, conducting surveillance reviews and forensic testing, analyzing regulatory developments, researching exceptions, and identifying compliance risks. The role also improves and automates employee compliance processes, supports new business initiatives, collaborates with legal and business teams, and develops pragmatic solutions to regulatory and operational issues.

Leads complex business analyses for Engineering, building financial and operational models, datasets, metrics, dashboards, and executive decision materials. Identifies efficiency and cost-saving opportunities, designs resource-allocation frameworks, manages recurring planning and reporting, and coordinates cross-functional initiatives across Engineering, Product, Modeling, Finance, and Corporate teams.

Leads high-impact global technology strategy initiatives for senior technology executives. Advises on AI deployment, governance, operating models, architecture, and enterprise transformation; frames complex problems, aligns stakeholders, and mobilizes execution. Monitors AI and financial-services technology trends, develops defensible strategic recommendations, and mentors strategy team members. Requires substantial technology strategy experience, technical depth, executive communication, and experience leading complex global solutions and firmwide transformations.

Lead discovery, research, strategy, and development of financial tools for small business card customers. Define product requirements, epics, metrics, and prioritization while partnering with design, architecture, engineering, marketing, and servicing teams. Use customer feedback, analytics, market insights, experimentation, and user research to launch customer-facing capabilities that improve expense management, engagement, and satisfaction. Manage stakeholder communications and delivery tradeoffs throughout the product lifecycle.

Lead silicon photonics and heterogeneous integration development from concept through manufacturing readiness. Responsibilities include process-flow integration, photonic device and advanced packaging development, DOE execution, process characterization, yield improvement, defect reduction, root-cause analysis, design-rule development, tapeouts, technology transfers, technical roadmaps, and AI-enabled engineering initiatives. The role collaborates with design, device, packaging, manufacturing, and supplier teams to deliver optical connectivity technologies for high-performance computing and AI infrastructure.

Lead the vision, strategy, roadmap, and full lifecycle of Enterprise File Services for the Federal Reserve. Gather customer needs, prioritize investments, manage KPIs, and guide modernization across file transfer, management, and integration capabilities. Partner with business, engineering, architecture, security, and delivery teams to ensure reliable, secure, compliant, and valuable products. Influence stakeholders in a matrixed organization, oversee governance and planning, and evaluate cloud, automation, AI, and self-service opportunities.

Design and implement Pega-based integration solutions and platform architectures for clients. Lead cloud and network architecture projects, analyze system interactions, manage project planning and execution, and ensure data integrity, security, and compliance. Manage client relationships, coach and mentor team members, resolve issues, and promote innovative technology practices across platform engineering teams.

Leads the vision, strategy, roadmap, and delivery of offers experiences across mobile and web. Owns the end-to-end customer journey, including relevance, rewards, fulfillment, loyalty, notifications, and servicing. Uses research and behavioral data to prioritize initiatives, measures product performance, coordinates cross-functional delivery, manages launches and dependencies, ensures legal and compliance controls, and develops product managers. Requires strong digital advertising knowledge, technical fluency, user experience orientation, and executive stakeholder communication.

Leads BlackRock’s global digital workplace organization of approximately 700 employees, owning employee technology strategy, engineering, operations, support, workplace AI, collaboration platforms, endpoint services, multimedia, mobility, and service delivery. Partners with executives and enterprise technology functions to improve productivity, resilience, security, governance, and cost efficiency. Oversees vendors, budgets, incident management, proactive remediation, AI-enabled support, and the development of global teams and operating models.

Leads global technology audit and risk-based assurance activities across applications, infrastructure, information security, data, cloud, and technology-enabled processes. Oversees annual audit planning, enterprise risk assessments, control evaluations, stakeholder relationships, and advisory engagements. Serves as a trusted advisor to senior technology leaders, manages audit resources, develops audit professionals, and drives improvements to audit processes, governance, resilience, and control effectiveness.

Lead product management for Capital One’s enterprise GraphQL Supergraph and governed data product platform. Drive strategy, roadmap, customer adoption, and cross-functional delivery for real-time data experiences supporting analytics and agentic AI. Translate business needs into scalable technology solutions, align engineering and business stakeholders, and mature a platform that makes authoritative enterprise data easy to discover and consume.

Owns product strategy, user experience, and capabilities for Capital One’s enterprise API platform. The role drives platform modernization, API design, customer and associate experiences, AI-enabled capabilities, business value creation, and cross-functional alignment. Candidates need a quantitative, business, or marketing degree, or any bachelor’s degree plus at least three years of product management experience. Experience translating business strategy into consumer-facing digital products is preferred.

Leads information security strategy and execution for the Federal Reserve System’s District IT and Corporate Services portfolio. Advises senior technology and business leaders, manages cybersecurity risk and tolerance, develops resilient security practices, and partners across a matrixed organization to deliver secure technology services. Builds high-performing, AI-savvy teams, drives change and innovation, manages stakeholders and external partners, and aligns security initiatives with business objectives and system standards.

Leads information security strategy and execution for the Federal Reserve’s Central Bank Services portfolio, including Markets, Credit Risk Management, and Reserves. Advises senior business and technology leaders, manages cybersecurity risk and resilience, partners across a matrixed organization, develops security strategies, builds AI-savvy teams, drives change and innovation, and ensures secure, reliable technology delivery aligned with business objectives and System standards.

Lead client engagements to optimize manufacturing and product development lifecycles using lean and Six Sigma methods, supply chain integration, PLM, and digital technologies. Manage project planning, budgeting, team coaching, feasibility and cost analyses, and drive adoption of emerging technologies to improve speed to market, reduce cost, and enhance quality.

Analyzes product development and manufacturing operations to identify bottlenecks, improve throughput, reduce costs, and enhance quality. Develops lean and Six Sigma process improvements, interprets operational data, supports product lifecycle and supply chain workstreams, and applies digital engineering, simulation, and connected technologies. Designs current- and future-state operating models, manages client workstreams, builds stakeholder relationships, and mentors junior team members.

Supports client engagements involving digital manufacturing, MES, automation, digital twins, IoT, and connected products. Analyzes manufacturing processes, simulation results, costs, workflows, and production data; develops technology recommendations and client deliverables; coordinates project workstreams; manages client relationships; ensures compliance; and guides junior team members.

Leads product strategy and execution for HR data and AI platforms supporting performance assessment, associate growth, and organizational planning. Builds scalable data foundations, signal engines, AI-ready ecosystems, enterprise integrations, and onboarding experiences. Partners with engineering and cross-functional teams to deliver reliable data products, enable machine learning adoption, and shape HR data strategy across the organization.

Leads business operations for Pfizer Oncology Medical Affairs, including planning, governance, resource and FTE management, executive enablement, cross-functional initiatives, organizational effectiveness, communications, and AI-enabled operational improvement. Partners with senior leaders across Medical Affairs, Oncology, R&D, Commercial, Finance, Communications, and People Experience to translate strategy into coordinated execution and measurable outcomes.

Optimize clients’ logistics, warehousing, transportation, distribution, and merchandising operations using operations research, advanced analytics, and AI. Develop optimization models, translate results into recommendations on cost, service, capacity, and productivity, and support technology implementations from requirements through deployment and adoption. Communicate findings to technical and business stakeholders while delivering client-focused consulting engagements.

Leads client portfolios using ZAIDYN data management and analytics solutions for emerging pharmaceutical companies. Responsibilities include business development, solution design, technology implementation, project and staffing management, client presentations, global team leadership, technical escalation, and mentoring. The role oversees scalable deployments involving analytics, AI, cloud, big data, BI, data governance, integration, and master data management.

Own the strategy, roadmap, and lifecycle of an AI product area serving investors and bankers. Conduct customer research, define workflows and requirements, prototype solutions, evaluate AI outputs, and partner with engineering, design, research, sales, and customer teams. Drive launches, adoption, product quality, and measurable business impact while balancing usability, accuracy, reliability, security, latency, cost, and commercial opportunity.

Deliver business intelligence and performance insights for institutional sales teams. Build sales enablement tools, AI-enabled workflows, KPI frameworks, and scalable data models. Analyze complex datasets, prototype statistical or machine learning models, ensure data governance, and translate findings into recommendations for senior stakeholders while partnering with technology and cross-functional teams.

Lead the vision, strategy, roadmap, and lifecycle of an AI-powered platform workstream focused on integrations and channel experiences. Translate business needs into technical product requirements, shape AI and agentic experiences, and partner with engineering, data science, architecture, design, and business teams. Define evaluation frameworks, KPIs, responsible AI requirements, and product quality measures while driving experimentation, adoption, launch, and continuous optimization.

Leads and scales a global Solutions Engineering organization supporting enterprise customer pilots. Owns technical scoping, evaluations, security reviews, pilot readiness, and resolution of technical blockers. Hires and develops managers and individual contributors, builds repeatable processes and resources, partners with Sales, Legal Engineering, Product, and Engineering, and personally supports strategic opportunities. The role requires strong presales expertise, enterprise security experience, executive communication, and the ability to work onsite in New York City.