Manager, Performance Analytics

About the role

The organization operates in the healthcare sector, focusing on improving diagnostic accuracy in medical imaging to enhance patient outcomes. It addresses the challenges of missed findings and limited access to high-quality imaging by combining clinical expertise, advanced AI, and extensive radiology quality data. The platform supports millions of people across major employers, national health plans, and primary care providers, aiming to connect the entire radiology journey from imaging scheduling to diagnosis accuracy.

The Manager, Performance Analytics is responsible for managing the analytical engine that supports a multi-state population health program serving health plan and provider clients. The role is crucial for maintaining data accuracy and integrity, as the analytics directly inform client billing and program performance evaluations. This position involves refining and automating data pipelines to ensure reliable measurement and reporting that supports clinical interventions and organizational objectives.

Responsibilities

• Manage the analytics pipeline for claims records, eligibility files, and reconciliation data across clients.
• Analyze care-gap identification to determine actionable findings.
• Reconcile closure on measurement cycles according to established clinical and data standards.
• Perform billing reconciliation ensuring alignment with invoiced volumes.
• Develop funnel instrumentation to track stages from findings to closure.
• Provide practice-level performance analysis to identify intervention needs and risks.
• Restate baseline measurements and establish monthly reporting aligned with regulatory timelines.
• Document, standardize, and automate analytics processes in collaboration with Product and Engineering teams.

Requirements

• Proficient with healthcare claims data formats, coding, and integration of eligibility files.
• Experience with healthcare regulatory and quality reporting, preferably Medicare Advantage risk adjustment data.
• Skilled in independent data analysis using SQL, Excel, and related tools.
• High attention to accuracy, given the financial and operational implications.
• Analytical approach driven by hypothesis testing and verification.
• Understanding of value-based care models and clinical-financial implications.
• Ability to work independently in a high-visibility, scaling program environment.

Schedule

Fully Remote