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Business Analyst serving as the bridge between private equity sponsors, healthcare practice stakeholders, and BI teams. The role defines metrics, gathers requirements, documents dashboard specifications, maps data across healthcare systems, and validates reporting outputs. Responsibilities include reconciling financial and clinical metrics, creating a shared metrics glossary, supporting data modeling, performing SQL-based validation, and ensuring HIPAA-conscious dashboard access and reporting.

Own new-business sales for engineering, Data and AI services, managed teams, resource augmentation, and company-built products. Build and manage a pipeline focused on US SME customers, with the GCC as a secondary market. Source and close deals, manage pricing and commercial terms, collaborate with presales and delivery, expand landed accounts, and maintain accurate HubSpot forecasts. The role requires strong US technology-sales experience, consultative selling, negotiation, and independent pipeline generation.

The Senior AI Engineer will build and operate a multi-agent AI system, develop knowledge ingestion pipelines, and manage AI product integration and evaluation processes.

The Senior Data Scientist will translate complex business problems into AI solutions, develop and deploy models, and collaborate with cross-functional teams for data analysis and insights.

Own and assess the client's enterprise data warehouse, build analytics/ML-ready transformation and feature pipelines, validate data quality and refresh timing, maintain lineage and governance, coordinate infrastructure and access with client IT, and support production pipeline reliability for daily ML scoring.

Lead client-facing healthcare engagement for a PE-backed dermatology network: translate US provider operations into analytical requirements, manage the client relationship, review and gate deliverables for clinical and business plausibility, and present findings to senior stakeholders while coordinating an offshore delivery team.

The AI Engineer will design, develop, and deploy autonomous data workflows and multi-agent systems for data analytics and decision automation.

Lead the design and delivery of scalable data and AI ecosystems, implementing architectures and pipelines for analytics and automation while mentoring engineers in best practices.