Economics, disputes, and performance-improvement consulting with embedded data science
BRG operates a consulting firm structured around three practice pillars: disputes and investigations, corporate finance, and operational performance improvement across healthcare, energy, and financial services. The tech stack reveals a mature consulting infrastructure—Workday, ServiceNow, Snowflake, and Bloomberg for core operations—layered with recent AI/ML adoption (OpenAI, Anthropic, SageMaker, RAG) and a heavy AWS footprint for data pipeline work. Hiring velocity is accelerating across finance (94 roles) and healthcare (39 roles), with 81% of new posts at senior+ levels, signaling client-facing delivery growth and practice expansion rather than internal infrastructure build.
Notable leadership hires: Associate Director
BRG is a privately held consulting firm headquartered in Washington, DC, with 1,001–5,000 employees. The firm combines expert practitioners—economists, former industry leaders, academics, and data scientists—with structured advisory services in economics and damages, corporate disputes and investigations, and performance improvement. Active projects span turnaround advisory, transaction support, supply chain optimization, and healthcare operational transformation (sepsis care, clinical coding accuracy, ED throughput reduction). The company operates globally, with hiring in the United States, Canada, Belgium, and the United Kingdom, and maintains significant practice depth in construction and government contracting, financial services, energy, and Latin America.
Core platforms: Workday, ServiceNow, Azure, AWS, and Snowflake. Analytics: SAS, SPSS, Stata, Capital IQ, Bloomberg. Data: AWS Lambda, SageMaker, ECS, EKS, Terraform. AI: OpenAI, Anthropic, Gemini, RAG. Emerging: Oracle, SAP, Dynamics 365, Salesforce, NetSuite adoption underway.
United States, Canada, Belgium, and United Kingdom. Hiring is concentrated in the US; active recruitment across all four markets with 165 postings in the last 30 days.
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BRG'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.