Overview
Overview:
HealthEdge® 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 HealthEdge 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. Learn more at HealthEdge.com.
The FinOps Analyst is responsible for establishing and operating a comprehensive Cloud and SaaS Financial Management (FinOps) practice across HealthEdge's multi-cloud and SaaS ecosystem, alongside key enterprise SaaS and 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, and is comfortable operating at the intersection of finance and engineering in a newly-formed function.
Areas of Responsibility
FinOps Strategy & Operating Model
- Establish and mature the FinOps 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, and maintain the FinOps playbooks, policies, and dashboards that drive continuous improvement.
Cost Visibility, Reporting & Unit Economics
- Build spend visibility 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 HealthEdge 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 that isn't visible can't be managed.
Cost Optimization, Controls & Anomaly Management
- Continuously identify and quantify cost optimization opportunities across cloud vendors using cloud-native tools and Adaptive 6 - right-sizing compute, identifying idle or abandoned resources, and selecting the right service tier
- Track and manage HealthEdge's portfolio of Reserved Instances, Savings Plans, and committed use discounts across cloud vendors, monitoring utilization, identifying coverage gaps, and making recommendations on purchases, exchanges, and expirations, and track SaaS contract utilization against commitments.
- Define spend alarms based on budgets and forecasts, and own anomaly investigations from detection through root cause and resolution so 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 and showback with clean, accurate, well-tagged cost data, owning data quality and flagging discrepancies before they become Finance's problem.
Tagging & Governance
- Own the cloud tagging taxonomy and compliance program - defining standards, monitoring enforcement, and remediating gaps with engineering teams - the foundation that makes everything else in FinOps possible.
- Partner with Finance, Risk, Compliance, and Vendor Management to extend financial controls across cloud and SaaS, and support audits with billing and subscription documentation.
FinOps Tooling, Automation & AI
- Administer and continuously improve the FinOps tooling stack, developing platform fluency quickly rather than just consuming what's already configured.
- Actively adopt AI tooling to automate reporting and anomaly triage and accelerate optimization analysis - AI adoption is a team-wide expectation at HealthEdge, not a voluntary experiment.
Cross-Functional Enablement & Vendor Collaboration
- Partner with engineering teams, platform pillar leads, and Finance through regular cost reviews, building the relationships that make FinOps a collaborative practice rather than a policing function.
- Collaborate with Procurement and Vendor Management on cloud and SaaS commercial agreements, serving as the key FinOps point of contact across Technology, Finance, and vendors.
Required Skills and Experience
- Minimum 5-7 years of related experience in FinOps, cloud financial management, or IT financial analysis, including hands-on experience with cloud cost reporting, allocation, and optimization in a large-scale enterprise environment.
- Bachelor's degree in Finance, Information Systems, Computer Science, Engineering, or a related field.
- Deep familiarity with cost and usage data and SQL-based billing analysis, preferably on AWS; strong exploratory data analysis skills able to independently investigate anomalies, identify cost drivers, and answer ad hoc questions on spend.
- Experience supporting data center exit and cloud migration programs, and a strong understanding of cloud migration financial impacts and hybrid cost models spanning on-prem, cloud infrastructure, and SaaS subscriptions.
- Experience in a FinOps role at a B2B SaaS company with a multi-tenant architecture, including familiarity with attributing shared infrastructure costs to specific customers or product features.
- Proven experience establishing tagging, chargeback/showback, and cost allocation models across cloud and SaaS ecosystems, using BI tooling such as AWS QuickSight, Tableau, Looker, or similar.
- Strong spreadsheet skills, including the ability to build forecasting models in Excel or Google Sheets.
- Strong knowledge of cloud billing, pricing models, and cost management tools and familiarity with AWS/Azure/GCP savings mechanisms - Savings Plans, Committed Use Discounts, Reserved Instances, Spot Instances, and similar.
- Demonstrated ownership across forecasting, governance, and optimization - not just reporting.
- Experience with AI-assisted analysis or reporting workflows (e.g., Claude, ChatGPT, Copilot), and familiarity tracking AI/LLM token usage and spend as its own cost category.
- Excellent communication skills, with the ability to translate technical cloud usage into financial insights for executive audiences and to influence without direct authority.
- Detail-oriented, self-directed, and genuinely curious about how engineering decisions translate into cost.
Preferred Skills and Experience
- FinOps Foundation Practitioner or Professional certification.
- AWS Cloud Practitioner or Associate-level certification.
- Experience writing SQL or using scripting (Python, PowerShell) to query and process cloud billing data at scale.
- Experience managing SaaS cost governance for enterprise platforms comparable to Splunk, Dynatrace, or Salesforce.
- Background in healthcare IT, health plan administration, financial services, or other regulated industries.
- Experience standing up a FinOps practice or chargeback program from scratch in an organization that previously lacked cloud cost visibility.
- Familiarity with infrastructure-as-code concepts and how IaC pipelines relate to cloud resource provisioning and cost attribution.
Behaviors & Traits
- Comfortable with ambiguity; thrives in a fast-paced, newly-formed function.
- Treats cost data with the same rigor and accuracy expected of production systems.
- Identifies and raises cost risk early rather than waiting for month-end to surface a surprise.
- Curious and continuously learning; open to feedback.
- Collaborative across teams and functions; builds trust and influences without direct authority rather than acting as a cost police.
- Communicates findings so they drive action, not just awareness.
Geographic Responsibility: Remote, US
Type of Employment: Full-time, permanent
FLSA Classification (USA Only): Exempt
Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:
- The employee is occasionally required to move around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
- Work across multiple time zones in a hybrid or remote work environment.
- Long periods of time sitting and/or standing in front of a computer using video technology.
- May require travel dependent on company needs.
The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check.
HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities.
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**The annual US base salary range for this position is $109,000 to $117,000. This salary range may cover multiple career levels at HealthEdge. Final compensation will be determined during the interview process and is based on a combination of factors including, but not limited to, your skills, experience, qualifications and education.