## About the Role

This Senior FinOps Analyst role focuses on strengthening cloud financial management across AWS environments within a MedTech capability center. The position exists to improve cost visibility, forecasting accuracy, accountability, and resource efficiency while supporting compliance and operational discipline in a regulated setting.

You will work closely with Cloud Engineering, Platform Engineering, DevOps, SRE, Security, Finance, Procurement, and Application teams. The role also extends FinOps controls to AI infrastructure, including GPU-based workloads, model training, inference, and GenAI services.

## Key Responsibilities

– Lead the FinOps strategy and governance model for AWS cloud spend.
– Build and maintain cost reporting, executive dashboards, KPIs, and financial review materials.
– Own budgeting, forecasting, and variance analysis processes.
– Define and track cloud unit economics such as cost per user, transaction, API call, storage, and data processed.
– Put in place cloud financial controls, including tagging, budget guardrails, anomaly detection, automated remediation, and chargeback/showback models.
– Drive AWS optimization through rightsizing, architecture improvements, commitment-based discounts, and operational efficiency initiatives.
– Partner with technical and finance teams to embed cost-conscious decisions across the application lifecycle.
– Establish cost governance for AI/ML platforms, GPU infrastructure, model training, inference, and GenAI services.

## Required Skills

– Bachelor’s degree in Business, Finance, Computer Science, Information Systems, Engineering, or a related field.
– 5+ years of FinOps experience with evidence of cloud cost savings and efficiency improvements.
– 3+ years of AWS cloud cost management experience.
– Strong understanding of cloud economics, cost allocation, tagging strategies, showback/chargeback, budgeting, forecasting, financial reporting, and cost optimization methods.
– Direct experience working with engineering and cloud platform teams.
– Advanced skills in Excel, Power BI, Tableau, or similar reporting tools.
– Strong communication and executive presentation skills.
– Excellent planning and management skills, with the ability to coordinate cross-functional work and deadlines.
– Proven success implementing proactive FinOps practices that improve savings, cost avoidance, forecasting accuracy, and long-term governance.

## Preferred Skills

– Experience in FDA-regulated industries such as MedTech, Healthcare, Life Sciences, or Medical Devices.
– Familiarity with AWS services and cloud architecture patterns.
– Experience with AWS Cost Explorer, AWS CUR (Cost & Usage Reports), and Savings Plans.
– Experience building cloud unit economics models.
– Understanding of AI/ML infrastructure and cost governance.
– FinOps Certified Practitioner or FinOps Certified Professional certification.
– AWS Solutions Architect, Cloud Practitioner, or equivalent certification.

## Cloud Platforms & Technologies

### Cloud Providers
– AWS

### FinOps / Cost Management
– AWS Cost Explorer
– AWS CUR (Cost & Usage Reports)
– Savings Plans

### Reporting & BI
– Excel
– Power BI
– Tableau

### AI / ML Infrastructure
– AI/ML platforms
– GPU infrastructure
– Model training workloads
– Inference workloads
– GenAI services

## FinOps Responsibilities

– Cost allocation and tagging strategy
– Budgeting, forecasting, and variance analysis
– Executive reporting, dashboards, and KPIs
– Unit economics and spend-to-value analysis
– Chargeback and showback models
– Budget guardrails, anomaly detection, and automated remediation
– Rightsizing and cloud optimization
– Commitment-based discount management
– AI FinOps governance for AI/ML and GenAI workloads

## Why You Might Be Interested

This is a senior FinOps role with direct influence on cloud spend, governance, and financial planning across AWS. It offers close collaboration with engineering, platform, finance, procurement, security, and application teams. The role also adds an AI cost governance dimension, covering GPU, model training, inference, and GenAI workloads. For candidates with regulated-industry experience, it provides the chance to apply FinOps discipline in a MedTech environment with measurable business impact.