Teams at Allied Benefit Systems Inc

Administers, configures, and improves business applications and vendor solutions. Partners with stakeholders, IT, and vendors to gather requirements, design workflows, manage access, support implementations and integrations, coordinate UAT, resolve application issues, monitor performance, and maintain documentation. The role also manages vendor relationships, reporting, governance, and audit readiness while providing ongoing application support.

Designs, builds, and owns enterprise data infrastructure supporting analytics, machine learning, and AI applications. Responsibilities include developing scalable ETL/ELT pipelines, API and database integrations, data models, ingestion frameworks, lake and warehouse architectures, Power BI reporting assets, data quality monitoring, governance, lineage, and reproducibility practices. The role partners with data scientists, machine learning engineers, business teams, and IT while supporting healthcare data environments and third-party data negotiations.

Develops production-grade statistical and machine learning models and predictive solutions for healthcare operations and business performance. The role analyzes complex data, designs experiments, evaluates AI systems, establishes metrics, creates dashboards, standardizes reporting, and communicates insights to technical and executive stakeholders. It also supports generative AI evaluation, model deployment workflows, and data-driven decision-making in regulated industries.