The Business Intelligence Engineer II will design, develop, and maintain scalable reporting and analytics solutions to support data-driven decision-making. They will also optimize ETL processes, perform data validation, and provide technical mentorship to junior team members.
Design, build, and deploy AI-powered Copilot agents and automated workflows to optimize healthcare revenue cycle management processes. Manage knowledge architecture, maintain SOPs, and train business users on AI adoption and productivity tools.
Design, build, and maintain production automations using Python across web, Citrix, and API-driven workflows. Contribute to the shared automation platform by building reusable components and instrumenting builds with structured logging and metrics.
Lead the end-to-end employee lifecycle and innovate talent strategies to align with business goals. Manage HR operations using Workday, oversee statutory compliance, and drive talent acquisition and development initiatives.
Responsible for the day-to-day monitoring of cloud and on-prem resources, including incident management and the operation of Azure Virtual Desktop. The role involves collaborating with cross-functional teams to ensure scalability, security, and cost optimization of Azure resources.
The Product Owner manages the product development process by converting client needs into requirements and maintaining the product roadmap. They act as the primary contact for offshore development teams to ensure features meet stakeholder objectives and pass final review before production.
Lead the technology strategy by designing reusable components, architectural patterns, and engineering tooling across software delivery teams. Drive engineering excellence through hands-on design, code reviews, and the implementation of scalable, secure platforms.
The HR Onboarding Specialist manages the end-to-end onboarding and occupational health compliance for new hires and client integrations. They are responsible for streamlining processes, maintaining standard operating procedures, and ensuring a positive candidate experience while mitigating organizational risk.
The role focuses on leading the development and engineering excellence of production-grade AI and ML systems for healthcare revenue cycle management, including designing agentic AI architectures and simplifying complex ML pipelines. Key duties involve driving code craftsmanship, reducing technical debt through assessments and remediation, and collaborating cross-functionally with architecture, product, and compliance teams.
The Senior Associate will analyze operational and transactional data to find improvements in the revenue cycle management process, collaborating with teams to develop solutions using LLMs/Gen AI/AI/ML models. Responsibilities include building solutions, conducting thorough analysis of healthcare revenue cycle processes, and developing data-driven recommendations for process improvement.
This role focuses on contributing to the end-to-end machine learning development lifecycle, including data preparation, model building, deployment, and monitoring for revenue cycle applications. Key tasks involve building and optimizing Gradient Boosting Trees models and implementing Large Language Model operations using OpenAI APIs.
