Top Tech Jobs & Startup Jobs in NYC, NY

Leads the Americas Business Intelligence Center, managing research leaders and delivering market, competitor, industry, company, and financial intelligence for business development and client delivery. Partners with senior stakeholders, oversees research quality and commercial support, drives responsible generative AI adoption, improves workflows and reporting, manages research vendors and subscriptions, and develops a high-performing team.

Support deployment, operation, and improvement of AI-enabled platforms and cloud services (primarily Azure). Implement GitHub-based GitOps CI/CD, author Terraform and IaC, operate containerized workloads, provide 24x7 production support, ensure security/compliance, optimize performance/cost, and maintain platform documentation and runbooks.

Summer internship in Risk Analytics supporting consulting engagements: extract, reconcile, and analyze large datasets; build repeatable data workflows; develop visualizations and statistical models; translate analyses into client-ready deliverables; use SQL, Excel, Python/R and analytics tools. Hybrid New York role with substantial travel and client-facing responsibilities.

Support eDiscovery and digital forensics engagements: preserve, collect, process, analyze, and produce electronic evidence; manage large datasets; use industry-standard tools; advise on chain-of-custody; assist client-facing deliverables during a summer internship (JuneAug 2027).

MBA interns analyze corporate performance, business models, cost reduction, revenue growth, and profitability opportunities in high-impact client situations. They research industry trends, synthesize qualitative and quantitative data, conduct research and client interviews, develop fact-based strategic recommendations, create presentation materials, and guide analysts as needed. The role involves collaborative client work, extensive travel, and occasional work outside normal business hours.

Lead high-stakes client engagements to improve performance, drive cost reductions and revenue growth, structure and deliver measurable results, develop business, mentor teams, and produce client-ready analyses and presentations in fast-paced environments.

Lead AI/ML consulting engagements: design and implement ETL, data modeling, predictive models, anomaly detection, distributed data pipelines, and executive-ready visualizations. Drive business development, mentor teams, and deliver client-facing solutions in hybrid/onsite environments.

Lead high-value, complex consulting engagements to improve corporate performance, drive cost reduction, revenue growth and profitability. Manage and deliver client-facing workstreams, synthesize analysis, develop client-ready presentations, lead negotiations, mitigate project risks, and support proposal development while mentoring teams and fostering stakeholder relationships in fast-paced, hybrid environments.

Lead AI/ML consulting engagements, build and deploy machine learning models and ETL pipelines, analyze large datasets, design data architectures, deliver visualizations, drive business development, and manage client-facing teams in high-stakes situations.