Top Tech Jobs & Startup Jobs in NYC, NY

Leads Business Banking’s data science and analytics strategy, identifying high-value AI/ML opportunities and guiding solutions from conception through production. Manages analytics leaders, data scientists, and analysts while partnering with product, technology, risk, finance, and business stakeholders. Oversees experimentation, personalization, competitive intelligence, product analytics, and strategic decision support. Builds organizational capability through hiring, coaching, talent development, responsible AI practices, and operational excellence.

Leads operational excellence for Ultimate Rewards redemption channels, including fraud and rewards misuse monitoring, control execution, incident response, governance, policy operationalization, benchmarking, and continuous improvement. Partners with Risk, Data & Analytics, Security, Product, Technology, and Servicing teams to translate insights into controls, improve customer journeys, and deliver procedures, playbooks, training, reporting, and change management across teams and regions.

Supports senior Country Risk leaders by managing operating rhythms, business reviews, executive communications, governance, budgeting, forecasting, and action tracking. Coordinates across Risk, Finance, Technology, and business teams to identify risks, improve workflows, remove blockers, and drive disciplined execution. The role also develops leadership presentations, synthesizes complex information, and coordinates team initiatives.

Oversee and analyze trading desk exposures for Global Securities Services (North America), develop exposure reporting/process improvements, monitor market movements, review trades and capitalization, ensure compliance with risk mandates, conduct daily exposure reviews and communicate findings across trading, risk, product, and technology teams.

Lead cybersecurity architecture evaluations, enterprise security solution delivery, threat modeling, control assessments, and technology selection. Advise technical teams, vendors, and senior leaders on security risks and business modifications. Apply AI-assisted security validation across software development workflows while ensuring data sensitivity, resiliency, traceability, and auditability. Secure cloud, SaaS, APIs, identities, integrations, and AI/ML applications using established security frameworks and reusable architecture patterns.

Lead global commercial governance and performance management across service portfolios, regions, and vendors. Establish KPI, data, reporting, pricing, and cost-to-serve frameworks; produce executive performance insights; strengthen vendor governance; support launches and portfolio optimization; and drive structured decision-making, issue escalation, action tracking, and continuous improvement through cross-functional partnerships.

Leads global commercial governance and performance management for amenity services. Builds standardized KPI, data, pricing, cost-to-serve, vendor, and financial governance frameworks; creates performance dashboards and decision mechanisms; translates insights into executive recommendations; and drives accountability, corrective actions, investment decisions, and service improvements across regions, vendors, and cross-functional partners.

Leads go-to-market strategy and execution for a small-business property and casualty insurance product. Owns cross-functional workstreams spanning product strategy, sales enablement, marketing, customer experience, operational readiness, distribution, and performance optimization. Uses customer, market, competitive, and financial insights to improve adoption and commercial outcomes while coordinating product, technology, data, operations, carrier management, and compliance stakeholders.

Leads product strategy, vision, discovery, market research, roadmap development, backlog management, and success metric tracking for payments data and analytics products. Acts as the customer voice, guides end-to-end product lifecycle activities, drives launches, manages stakeholders, and ensures scalable, resilient, reliable solutions. Requires expertise in data or AI product management, analytics, product development, and hands-on data solution development using technologies such as Python and SQL.

Designs and scales experiential learning programs that build employee AI fluency across roles and regions. Responsibilities include needs analysis, curriculum and journey design, tool-specific training for generative AI and Microsoft Copilot, content QA, learner testing, stakeholder collaboration, measurement planning, benchmarking, and responsible AI education. The role partners with HR, technology, analytics, compliance, product, and business teams to drive AI adoption in a regulated enterprise environment.