Top Tech Jobs & Startup Jobs in NYC, NY

Lead a team of economists and analysts to monitor consumer and business health metrics, produce internal and external reports, define analytical agendas and segments, coordinate research and stakeholder engagement, and communicate economic insights to executives, investors, and community partners.

Support model risk governance and program management across MRGR areas, including preparing materials for risk committees, monitoring model risk metrics, managing inventory and CCAR processes, coordinating remediation and regulatory/audit deliverables, and working with product, policy, and analytics teams to improve processes.

Lead and deliver complex, cross-functional market data lake programs: define strategy, manage scope, budgets, risks and dependencies, partner with product and engineering triads, optimize value stream flow, track platform health and consumer adoption, and drive process and vendor decisions across regulated financial services environments.

Manage portfolio operations for the Chief Analytics Office: coordinate intake, prioritization, cadence, dependencies, and audit-ready documentation. Produce leadership-ready analytics and dashboards, build and maintain automated reporting workflows using Python and automation tooling, integrate platforms via APIs, and support governance, resource planning, and stakeholder communications to drive operational effectiveness and scalable reporting.

Lead product strategy and execution for client and account data in Wealth Management. Drive data governance, modeling, quality improvements, and reusable microservice capabilities. Collaborate with business, operations, advisors, and technology teams to manage backlog, write user stories, integrate analytics, and ensure compliance with firm policies.

Lead an agile team to design, build, and deliver secure, scalable web and backend systems. Develop production-quality code, architect microservices (Java/Python/Spring Boot), implement cloud-native and data processing solutions, improve operational stability, mentor engineers, evaluate vendors, and promote engineering best practices and new technologies.

Lead end-to-end product lifecycle for Marketing Automation Platforms: define strategy and roadmap, conduct discovery and market research, maintain backlog, track success metrics, collaborate with stakeholders and engineering, ensure scalable, reliable launches, and translate customer needs into agile requirements.

Lead scoped workstreams on firmwide strategy and process improvement projects: gather and analyze data, test hypotheses, develop recommendations, produce presentations, guide stakeholder interviews, and manage timelines to influence senior leaders.

Own product strategy and delivery for accounting, IBOR, and General Ledger capabilities. Translate client/back-office requirements into a roadmap, document workflows, partner with engineering and implementation, engage clients, define success metrics, and ensure controls, compliance, and data integrity.

Lead firmwide AI transformation by defining portfolio strategy, prioritizing high-impact AI initiatives, building governance and measurement frameworks, advising senior leaders with data-driven narratives, clearing execution roadblocks, and managing a team to deliver measurable strategic and financial value.