Overview
This role is responsible for analyzing infrastructure consumption, technology assets, financial data, and operational metrics to identify opportunities for cost optimization, rationalization, and improved technology investment decisions.
The position is remote in approved locations and can be based in:
- Louisville, KY (Preferred)
- Chicago, IL
- Dallas, TX
- Nashville, TN
- New York, NY
- Tampa, FL
- Washington, DC
Scheduled weekly hours: 40
Responsibilities
Infrastructure Cost Analysis
- Analyze infrastructure environments including storage, compute, network, cloud, backup, and platform services to identify cost reduction and optimization opportunities.
- Evaluate technology consumption, utilization, capacity, and growth trends using operational and financial datasets.
- Develop insights around asset utilization, underused resources, redundant technologies, and consolidation opportunities.
- Support infrastructure demand forecasting and cost modeling activities.
Data Analysis & Cost Transparency
- Consolidate and analyze data from multiple sources, including:
- CMDB platforms
- Infrastructure monitoring tools
- Cloud and platform usage reports
- Purchase orders
- Vendor contracts
- Invoice data
- Asset inventories
- Financial systems
- Architecture and engineering documentation
- Perform data validation, reconciliation, and trend analysis to ensure accuracy and consistency across sources.
- Create dashboards, reports, and analytical models to support technology cost transparency initiatives.
Business Case Development
- Develop financial and technical business cases supporting infrastructure optimization initiatives.
- Build hypotheses regarding cost reduction, consumption efficiency, technology modernization, and rationalization opportunities.
- Quantify potential savings, cost avoidance, investment requirements, and operational impacts.
- Translate complex data findings into clear, concise communications for diverse audiences.
- Partner with infrastructure engineers, architects, service owners, procurement teams, and finance partners to understand technology environments and validate assumptions.
- Identify opportunities to improve cost management processes, reporting capabilities, and data quality.
- Contribute to automation and standardization of reporting, analytics, and business case development processes.
Data Analysis & Insights
- Own, maintain, and collect responsibility for data assets in the functional production support process.
- Collect, clean, and analyze data from multiple sources using tools like SQL, Excel, Python, or Tableau.
- Identify patterns, trends, and correlations to support descriptive, diagnostic, predictive, and prescriptive analytics.
Technical Communications
- Assist with creation of branding, communication, and training materials.
- Translate complex data findings into clear, concise communications for diverse audiences.
- Develop and maintain digital asset libraries (e.g., multimedia content, documents) for easy retrieval and reuse.
Requirements
- Bachelor’s degree in Information Technology, Computer Science, Information Systems, Finance, Business Analytics, Engineering, Mathematics or a related field.
- 1–5 years of experience in one or more of the following areas:
- IT infrastructure, Technology Operations
- FinOps
- IT asset management
- Technology financial management
- IT analytics
- Technology consulting
- Strong analytical and problem-solving skills with the ability to interpret large datasets.
- Experience working with Microsoft Excel and data analysis tools.
- Experience creating reports, dashboards, and presentations for stakeholders.
- Strong written and verbal communication skills.
- Ability to translate technical information into business-focused recommendations.
- Authorization to work in the US without sponsorship (employer will not provide work visa sponsorship for this position).
Preferred Qualifications
- Familiarity with infrastructure technologies such as:
- Storage platforms
- Virtualization environments
- Servers and compute platforms
- Cloud services (AWS, Azure, GCP)
- Network infrastructure
- Backup and recovery technologies
- Demonstrated familiarity with AI concepts and how they are applied in an organization, such as:
- Programming (Python mainly)
- Machine Learning Basics (Supervised & unsupervised learning)
- Regression, classification, clustering
- Model evaluation (accuracy, precision, recall, etc.)
- Data cleaning, transformation, feature engineering
- Working with structured + unstructured data
- Experience with Power BI, Tableau, SQL, Snowflake, ServiceNow, or similar reporting and analytics platforms.
- Understanding of IT financial management, chargeback/showback, TBM, FinOps, or cost allocation methodologies.
- Exposure to vendor management, contract analysis, software licensing, or procurement processes.
- Knowledge of CMDB structures and IT asset management practices.
- Experience building financial models or business cases.
Compensation & Benefits
Pay Range
- $73,400 - $100,100 per year
Eligible for a bonus incentive plan based on company and/or individual performance.
Benefits
- Medical, dental, and vision benefits
- 401(k) retirement savings plan
- Time off (including paid time off, company and personal holidays)
- Paid parental and caregiver leave
- Short-term and long-term disability
- Life insurance
- Other opportunities supporting whole-person well-being
Work-From-Home Requirements
- Self-provided internet service must meet at minimum:
- Download speed of 25 Mbps
- Upload speed of 10 Mbps
- Wireless, wired cable, or DSL connection is suggested.
- In certain roles, the minimum recommended internet speed required by the employer may not be sufficient for business needs; the employer may require an internet service upgrade if necessary.
- Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Travel
- Occasional travel to employer offices for training or meetings may be required (remote role).
Equal Opportunity Employer
The employer is an equal opportunity employer and provides equal employment opportunities without discrimination based on legally protected characteristics.