NYGCI is a mid-sized IT services firm built around three operational pillars: infrastructure consulting, application development, and managed services. The tech stack reveals a heavy Oracle + SAP footprint paired with modern cloud (Azure, Kubernetes) and data platforms (Snowflake, Kafka), pointing to clients running legacy ERP systems alongside newer cloud-native workloads. Active projects cluster around compliance (SOX), data infrastructure (Snowflake provisioning and optimization), and change management—suggesting the customer base is large enterprises navigating modernization under regulatory pressure.
NYGCI delivers IT consulting, managed services, and infrastructure operations to mid-market and Fortune 500 enterprises, primarily in North America and the Asia-Pacific region. The company specializes in ERP consulting (Oracle Fusion, SAP), application performance management, and cloud infrastructure modernization on Azure and Snowflake. Recent project focus includes SOX compliance implementation, data warehouse sizing and cost optimization, and AI adoption in procurement workflows. The hiring profile—weighted toward senior and lead roles across engineering, finance, and operations—reflects a services-delivery model scaling to support concurrent client engagements.
Oracle Fusion Cloud ERP, SAP EWM, Azure (App Service, Kubernetes), SQL Server, Snowflake, Kafka, Salesforce, .NET, React, and Docker. Also uses UiPath for RPA and Terraform for infrastructure-as-code.
Currently recruiting in the United States, Philippines, and Australia. Active roles include senior engineers (4), senior finance roles (3), support staff (3), and specialized positions in data and operations.
Key projects include SOX compliance implementation, Snowflake infrastructure provisioning and optimization, management-of-change programs, and AI adoption pilots in procurement. Also conducting due diligence and contract assessments for client transitions.
New York Global Consultants Inc. (NYGCI)'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.