Top Tech Jobs & Startup Jobs in NYC, NY

Support annual managerial capital budgeting, automate data and analytics processes, advise commercial business partners on capital resilience, build subject matter expertise, maintain cross-functional relationships, and evaluate the capital impact of new business strategies.

Lead a team to analyze data, create machine learning models, and deliver insights for customer-focused financial products, leveraging various technologies.

Build and lead development of cloud-based full-stack and distributed microservices solutions. Responsibilities include designing service boundaries and APIs, using multiple programming languages and databases, deploying with AWS, Docker, and Kubernetes, improving performance, reducing technical debt, establishing engineering standards, mentoring developers, and leading cross-functional technical initiatives in an Agile environment.

Lead data analytics for the Hotels Travel Agency team: define KPIs, build dashboards, run A/B tests, conduct deep-dive analyses, troubleshoot tracking and data quality, and partner with product and engineering to improve data models and accessibility.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, databases, APIs, and modern development frameworks. Provide technical leadership across Agile teams, establish engineering standards, mentor developers, improve system performance, reduce technical debt, and collaborate with product managers and architects to deliver scalable solutions supporting regulatory and customer needs.

Designs, builds, and operates scalable, resilient cloud data platforms and pipelines. Leads large-scale data initiatives, makes architectural decisions, evaluates technologies such as Snowflake and Databricks, and develops solutions using distributed data systems, relational and NoSQL databases, and cloud platforms. Collaborates with product and engineering teams, establishes reusable design patterns, communicates technical concepts, and mentors data engineers, analysts, and scientists.

Design, build, and support scalable cloud data platforms, pipelines, and applications. Develop distributed data solutions using Python, Spark, SQL, Databricks, Snowflake, and relational and NoSQL databases. Architect reusable engineering patterns, improve resilience and operational efficiency, enforce data security, and support real-time workloads. Collaborate with Agile teams, product managers, engineers, analysts, and data scientists while mentoring peers and communicating technical outcomes to stakeholders.

Leads Support Innovation product strategy, vision, and roadmap for Capital One’s associate IT support experience. Oversees product managers and design partners, applies AI and emerging technologies, and partners with engineering and cross-functional leaders to create intuitive digital solutions for a 100,000+ employee workforce. Drives customer-centered innovation, business outcomes, technology strategy, integrated problem-solving, and transformational leadership.

Leads product strategy and delivery for Capital One’s Bank Modernization automated journey testing platform. Partners with engineering, design, data, marketing, and business teams to build enterprise-grade testing infrastructure, improve automation, integrate AI tools, manage product risks, and drive adoption. The role requires customer-centered problem solving, technology-driven innovation, cross-functional leadership, data governance awareness, and direct mentorship of product managers.

Leads data science for Capital One’s US Card business, developing and deploying machine learning models across marketing, acquisitions, underwriting, and fraud prevention. Partners with data scientists, engineers, and product managers; analyzes large-scale numeric and textual data using cloud and open-source technologies; translates complex insights into business outcomes; and develops talent while guiding technical innovation.