Manager, Performance Analytics

About this role

About the company

At Covera Health, we're on a mission to improve healthcare by making every diagnosis more accurate.

Every year, millions of patients receive imaging that shapes life changing medical decisions. Yet too often, important findings are missed, patients struggle to access high quality imaging, and the healthcare system treats radiology like a commodity instead of one of the most critical moments in a patient's care journey.

We're changing that.

Covera combines clinical expertise, advanced AI, and one of the industry's largest radiology quality datasets to help detect disease earlier, improve diagnostic accuracy, and give clinicians greater confidence in every decision they make. Better diagnoses lead to better treatment, fewer unnecessary procedures, lower healthcare costs, and, most importantly, better outcomes for patients.

In 2026, Covera and Medmo came together to create the first platform designed to support the entire radiology journey. From helping patients find and schedule high quality imaging, to coordinating care, to ensuring the accuracy of every diagnosis, we're building a connected experience that simply hasn't existed before.

Backed by Insight Partners, our platform supports nearly 6 million people across Fortune 10 and Fortune 100 employers, three of the five largest national health plans, and thousands of value based primary care physicians.

This is an exciting moment to join Covera. We're building technology that is helping detect serious conditions earlier, improving the quality of care for millions of patients, and redefining what healthcare can be. If you're excited by meaningful work, ambitious teammates, and the opportunity to help save lives through better healthcare, we'd love to meet you.

About the role

Covera’s Population Health program runs on evidence: claims records, eligibility files, MAO-004 reconciliation data, and site-of-care analysis that together identify patient care gaps, confirm when gaps close, and reveal which clinical practices need intervention. The Manager, Performance Analytics owns that engine across a rapidly growing, multi-state book of health plan and provider clients.

This is a hands-on analytical role with unusual visibility and a billing-grade accuracy bar: your reconciliations tie directly to client invoices under our usage-based fee model, and your outputs are the program’s source of truth for clients, internal performance management, and executive incentive measurement. You will inherit working pipelines and be expected to make them institutional: documented, automated where possible, and never dependent on a single person.

This role will initially report to the Chief Financial & Operations Officer before transitioning to the VP, Population Health as that leader joins the organization. This reporting structure is intentional and reflects the long-term design of the team.

In this role, you will be expected to:

• Own the program’s analytics pipeline: intake and analysis of claims records, eligibility files, and

• MAO-004 reconciliation data across all clients.

• Own care-gap identification: the analysis that determines which validated findings represent open, addressable gaps.

• Own closure reconciliation on the program's vintage-cohort, MAO-004-evidenced measurement basis, including the monthly cohort measurement cycle and the collection-method distinctions (current eligibility vs. retrospective) that determine how cohorts are read.

• Own billing reconciliation: studies-analyzed and per-unit program activity reconciled to invoiced volume by client and by practice, at a standard that survives client audit.

• Build funnel instrumentation: stage-level conversion from finding identified, to shared with the physician, to acted on, to closed, so the program can see where value leaks rather than only its cumulative totals.

• Deliver practice-level performance analysis: which practices are converting, which need education or intervention, and where concentration or volume volatility creates program risk.

• Deliver the program’s baseline restatement on the vintage-cohort measurement basis and stand up the monthly measurement cycle aligned to CMS reconciliation windows in your first 90 days.

• Document, standardize, and progressively automate the pipeline in partnership with Product and Engineering, so the program’s measurement survives any individual.

Requirements:

• Deep hands-on fluency with healthcare claims data structures: professional and institutional claim formats, diagnosis and procedure coding, member and provider identifiers, and how eligibility files join to claims.

• Direct experience with healthcare regulatory and quality reporting: Medicare Advantage risk adjustment data, including MAO-004 files, strongly preferred; familiarity with CDI (clinical documentation integrity) reporting, encounter data, or similar plan-side reporting a strong plus.

• Demonstrated ability to build and run analysis independently, from SQL queries against large datasets through Excel and pivot-table analysis to finished output: these are working skills you use daily, not skills you manage in others.

• Rigor about correctness: your numbers appear on invoices and settle compensation and client performance conversations, and you treat that accordingly.

• Hypothesis-driven by habit: you ask the relevant questions, form a view, test it, verify the result, and repeat. We will ask what you built, what changed as a result, and what failed.

• Fluency with value-based care: risk arrangements, care-gap economics, and what closure means clinically and financially.

• Comfort operating without a large team: this is a builder-operator seat in a scaling program, with strong executive support and high visibility.

AI at Covera

At Covera Health, AI is not a novelty. It's a core part of how we work. Every team member is expected to actively use AI in their day-to-day role, and we invest in building that fluency across the organiz

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