Digital transformation and data consulting for financial services and healthcare
JSR Tech Consulting is a mid-market consulting firm serving financial services, pharmaceuticals, and healthcare with contract advisory and implementation services. The stack reveals a data-heavy practice: Python, Power BI, Tableau, SageMaker, and AWS analytics (Redshift, Aurora) dominate, paired with OpenAI and LangChain adoption—indicating active buildout of AI-assisted advisory and automation. Hiring is heavily weighted toward senior technologists (19 of 25 open roles), with engineering and data roles comprising most positions, suggesting they're scaling delivery capacity in data modeling and cloud transformation rather than adding junior capacity.
Notable leadership hires: Creative Director, Associate Art Director
JSR Tech Consulting, founded in 2015 and based in Cranford, New Jersey, delivers contract consulting and implementation services to leaders in financial services, pharmaceuticals, and healthcare. The firm specializes in cloud enablement, data modeling, data science, IT governance, and emerging AI applications. With principals holding over 25 years of combined experience, the company operates on long-term client relationships and end-to-end solution delivery. JSR is a certified Women-Owned Business Enterprise and disability inclusion advocate. The current project pipeline includes brand activation, investment automation, quality management system implementation, and AI-driven insights platforms.
Core stack includes AWS (Lambda, Step Functions, Redshift, Aurora), Python, Power BI, Tableau, SageMaker, Terraform, Jenkins, and Jira. Recent additions: OpenAI, LangChain, and LangGraph for AI/ML projects. Bloomberg and Aladdin for financial modeling.
Primary verticals: financial services, pharmaceuticals, and healthcare. Services include cloud enablement, data governance, project management, digital marketing, medical affairs, market access, and AI/ML consulting.
JSR Tech Consulting'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.