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Sr IT Financial Analyst - Cloud

Job in Columbia, Howard County, Maryland, 21046, USA
Listing for: Hmixray
Full Time position
Listed on 2026-09-30
Job specializations:
  • Finance & Banking
    Financial Analyst
Salary/Wage Range or Industry Benchmark: 115000 - 125000 USD Yearly USD 115000.00 125000.00 YEAR
Job Description & How to Apply Below

Responsibilities

Artificial Intelligence;
Advanced Technology;
The very best in patient care. With decades of expertise, Rad Net is Leading Radiology Forward. With dynamic cross-training and advancement opportunities in a team-focused environment, the core of Rad Net’s success is its people with the commitment to a better healthcare experience. When you join Rad Net as a Senior IT Financial Analyst - Cloud
, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all stakeholders- patients, providers, payors, and regulators to achieve the best clinical outcomes.

You Will:
Financial Analysis, Business Metrics and Unit Economics
  • Develop financial models that connect technology costs to relevant business and operational metrics, creating decision-quality unit economics for infrastructure, cloud platforms, data platforms, and technology-enabled products and services.
  • Partner with business, operations, Finance, product, and technology teams to identify appropriate cost drivers for each workload, including imaging study volume, modality mix, site count, customer count, product usage, transaction volume, storage growth, compute consumption, and data retention.
  • Develop and maintain metrics such as cost per imaging study, cost per site, cost per customer, cost per transaction, cost per terabyte, and other workload-specific measures.
  • Analyze whether technology costs are scaling proportionally with business growth and identify changes in cost efficiency, operating leverage, gross margin, or cost to serve over time.
  • Normalize costs against business volume so alternatives can be compared consistently using both absolute spend and unit economics.
Infrastructure Economics and Workload Placement
  • Develop total cost of ownership and scenario models comparing on-premises infrastructure, colocation or hosted infrastructure, public cloud, SaaS, and hybrid deployment models.
  • Model hardware acquisition and refresh cycles, maintenance and support, software licensing, datacenter and networking costs, cloud consumption, storage growth, contractual commitments, migration costs, and relevant operational support requirements.
  • Partner with architecture, infrastructure, cloud, and platform teams to quantify the short-term and long-term financial tradeoffs of workload placement, modernization, migration, consolidation, and platform replacement decisions.
  • Maintain reusable three- to five-year models that allow leadership to evaluate multiple growth, capacity, architecture, and investment scenarios.
  • Track one-time transition or migration costs separately from ongoing run-rate costs and validate realized outcomes against approved business cases.
Budgeting, Forecasting and Leadership Reporting
  • Develop driver-based monthly, quarterly, and annual forecasts that connect technology spend to imaging volume, customer and product growth, site onboarding, storage and data growth, utilization, architecture changes, and other measurable business drivers.
  • Prepare budget-to-actual and forecast variance analysis, identify the business and technical causes of material changes, and communicate financial implications and recommended follow-up actions.
  • Support annual capital and operating budget cycles, multi-year infrastructure planning, accruals, cloud invoice reconciliation, committed-spend tracking, and financial reporting.
  • Create concise reporting for Finance and leadership covering run rate, forecast, variance, unit economics, cost drivers, savings opportunities, savings realization, risks, and decisions required.
  • Build scenario models for acquisitions, new market or site expansion, imaging volume growth, customer adoption, product scaling, increased resiliency, retention changes, and infrastructure modernization.
  • Work with IT Financial Ops Manager and Director to integrate Cloud reporting into other financial reporting and analytics related to software spend.
Fin Ops Operating Model, Governance and Tooling
  • Partner with the existing Rad Net Cloud Operations, Platform Engineering, and Fin Ops resources and the Deep Health Fin Ops practice to mature a shared Fin Ops operating model.
  • Participate in and help operationalize a recurring cross-functional Fin Ops committee across Rad Net IT, Deep Health, and Finance, including standardized reporting, decision tracking, ownership, and follow-up.
  • Use and mature existing capabilities including Cloud Zero, Google Cloud Billing and billing exports, Big Query financial datasets,…
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