Strategic consulting firm focused on execution, transformation, and managed services
Atlas is a 501–1,000-person consulting firm headquartered in Berkeley Heights, NJ, specializing in delivery execution, organizational transformation, and managed services for mid-market and Fortune 100 clients. The tech stack reveals a hybrid on-premises and cloud foundation (Oracle Fusion Cloud, AWS, SQL Server) layered with modern development tools (React, Python, FastAPI, Node.js, GraphQL), while active projects signal a shift toward AI-driven solutions and data infrastructure—replica environments for ML training, semantic ingestion pipelines, and canonical data modeling. Hiring velocity is accelerating with a senior-heavy skew (8 of 13 open roles), concentrated in engineering and security, indicating both execution expansion and internal risk-mitigation focus.
Notable leadership hires: IT Delivery Lead
Atlas is a woman-owned strategic consulting firm founded in 1998, operating across North America with offices focused on life sciences and enterprise clients. The firm delivers across four capabilities: execution and project/program management (Portfolio, Program, Project, Product frameworks); organizational transformation and change adoption; AI and advanced analytics; and managed services including portfolio optimization and ongoing delivery support. Clients range from Fortune 100 corporations to emerging enterprises. The technical footprint spans legacy enterprise systems (Oracle Fusion, SQL Server) alongside modern cloud infrastructure (AWS, containerization, CI/CD) and data-engineering tools (REST/GraphQL APIs, semantic data pipelines), reflecting a mixed portfolio of strategic advisory and hands-on delivery.
Atlas operates on a hybrid cloud and on-premises foundation: Oracle Fusion Cloud, AWS (Lambda, Step Functions, API Gateway), SQL Server, ServiceNow, plus modern development (React, Python, FastAPI, Node.js, GraphQL, Docker, Terraform). They are migrating off Oracle EBS.
Key projects include AI solution delivery and replica environments for machine-learning model training, semantic data ingestion pipelines, entity resolution, canonical data modeling, CI/CD optimization, and audit/security remediation across enterprise clients.
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