Top Data & Analytics Jobs in NYC, NY

Leads enterprise ontology and data-modeling strategy, governance, integration, standardization, and roadmap development. Manages teams creating semantic models, taxonomies, linked data, and reusable capabilities while partnering with technology, machine learning, and business stakeholders. Advocates W3C standards, supports knowledge organization workshops, establishes modeling guidelines, monitors industry trends, and mentors team members. Requires expertise in metadata, ontologies, linked data tools, graph technologies, SQL or SPARQL, and semantic standards.

Develops and governs enterprise ontologies, semantic models, and data standards. Partners with Finance, Technology, Product, and Machine Learning teams to integrate semantic technologies, harmonize linked data, improve data discoverability, and support product development. Responsibilities include applying W3C standards, managing ontology tools, testing models, advocating data standardization, monitoring industry developments, and overseeing related projects.

Analyze payment, lending, marketing, and credit-risk data to identify business opportunities, build strategic recommendations, develop and monitor statistical models, and support product and pricing decisions. Partner with IT, Sales, Operations, Finance, and other teams to implement solutions, improve performance, and drive profitability. The role requires strong quantitative reasoning, business judgment, communication, leadership, and execution skills in a fast-paced environment.

Leads data analytics and business intelligence strategy, mining large datasets, building and validating models, improving processes and reporting, evaluating products and initiatives, and consulting on data systems. Manages and mentors junior analysts, collaborates across business units, and oversees projects from inception through completion. The role requires advanced analytical, programming, communication, leadership, and problem-solving skills.

Lead an analytics team to drive strategy for Accounts Payable and Expense Management. Translate customer, product, and financial data into insights, models, and experiments to inform product, pricing, marketing, and credit risk decisions. Partner cross-functionally to deliver business requirements, manage projects, mentor analysts, and measure impact to grow profitability and customer outcomes.

As a Senior Lead Data Engineer at Capital One, you'll lead a development team, utilizing various big data and cloud technologies to deliver impactful solutions. Responsibilities include collaborating with Agile teams, mentoring, and ensuring optimal code performance.

Responsible for validating market risk models and ensuring their accuracy. Engage with various stakeholders, communicate findings, and maintain model integrity while leveraging innovative analytical technologies.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

Lead data strategy, architecture, and modeling for high-volume transactional network platforms. Build monitoring and anomaly-detection frameworks, optimize operational data schemas, align local assets with enterprise data strategy, communicate findings to stakeholders, and mentor technical staff.

Perform strategic quantitative analysis and modeling to inform product, pricing, marketing, and credit risk decisions for business cards and payments. Lead hypothesis-driven problem solving, partner with IT, sales, operations and finance, support implementation and monitoring, and communicate insights to influence stakeholders.