Remote FinOps Analyst Cloud & SaaS Cost Optimization

Overview

Overview:

Health Edge® offers AI-powered operational infrastructure for health insurance companies, guaranteeing an enduring financial edge in an increasingly competitive market. We're experiencing strong market momentum, with a growing number of health plans choosing Health Edge to modernize their operations and compete more effectively. As we expand, we're investing in the people who power that growth, making this a pivotal moment to join us and shape the future of healthcare technology.

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The Fin Ops Analystis responsible forestablishingand operating a comprehensive Cloud and SaaS Financial Management (Fin Ops) practice across

Health

Edge'smulti-cloud and SaaS ecosystem, alongside key enterprise

SaaSand AI platforms. This role partners closely with

Cloud

Engineering, Architecture, Finance, Procurement, Security, and product teams to ensure cloud and SaaS consumption is cost-efficient, well-governed, transparent, and aligned to business priorities, both during the ongoing migration off on-premises, Azure, and GCP environments toward AWS, and throughout steady-state operation afterward. The ideal candidate combines strong analytical rigor with genuine curiosity about cloud infrastructure, andis comfortable operating at the intersection of finance and engineering in anewly-formedfunction.

Areas of Responsibility

Fin Ops Strategy & Operating Model

• Establish and mature the Fin Ops operating model across IaaS, PaaS, and SaaS, implementing cost governance standards across AWS, Azure, GCP, and enterprise SaaS platforms.
• Partner with engineering and architecture teams to build cost considerations into design and migration decisions, andmaintainthe Fin Ops playbooks, policies, and dashboards that drive continuous improvement.

Cost Visibility, Reporting & Unit Economics

• Buildspendvisibility dashboards broken down by product, product feature, tenant/client, and team - not just aggregate business-unit totals - and own the production and delivery of cloud cost reports across all Health Edge business units and environments.
• Make cloud and AI spend billing data available in analytics and reporting tools, with automated export to finance systems.
• Build unit economics capabilities - cost per customer, per operation, per API request, AI token usage - and work through the multi-tenant attribution challenge across product lines with defensible allocation logic.
• Make sure visibility is never the bottleneck - cost thatisn'tvisiblecan'tbe managed.

Cost Optimization, Controls & Anomaly Management

• Continuouslyidentifyand quantify cost optimization opportunities acrosscloud vendors using cloud-nativetools and Adaptive 6 - right-sizing compute,identifyingidle or abandoned resources, and selecting the right service tier
• Track and manage
  
  Health
  
  Edge'sport folio of Reserved Instances, Savings Plans, and committed use discounts acrosscloud vendors,monitoringutilization,identifyingcoverage gaps, and making recommendations on purchases, exchanges, and expirations,and track SaaS contractutilizationagainst commitments.
• Define spend alarms based on budgets and forecasts, and own anomaly investigations from detection through root cause andresolutionso surprises are caught early, not at month-end.
• Identify process improvements to enhance cost transparency.

Financial Planning, Forecasting & Chargeback

• Build cloud and SaaS spend forecasts that incorporate sales forecasts, product roadmap initiatives, and migration/modernization waves, and deliver executive-level reporting on spend, trends, and savings realized.
• Support Finance-led chargeback andshowbackwith clean,accurate, well-tagged cost data, owning data quality and flagging discrepancies before they become Finance's problem.

Tagging & Governance

• Own the cloud tagging…