Senior Infrastructure Engineer

Vizient, Inc

. Develop and maintain Power BI dashboards and reporting measuring AI adoption, utilization, performance, cost, capacity, and business value .

Posted 10/5/2026full-timeUnited StatesSenior💰 $77,400 - $135,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining Power BI dashboards, analyzing AI operational data, and translating metrics into actionable insights. Proficient in data modeling, SQL, and reporting within enterprise AI platforms, with strong communication skills for presenting findings to diverse stakeholders.

Highest-signal resume keywords

Power BI Dashboard DevelopmentSQL Data Extraction and AnalysisData Modeling and DAXAI Reporting and InsightsCommunication of Analytical Findings

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisBusiness IntelligenceReportingData VisualizationTrend AnalysisForecastingCapacity PlanningOperational ReportingData TransformationPerformance Metrics

Soft Skills

Strong Communication Skills

Tools & Technologies

Power BIMicrosoft FabricAzure Data ServicesDatabricksPython

Industry Keywords

AI AdoptionFinOps ReportingHealthcare IndustryRegulated EnvironmentAI Consumption Metrics

Tech Stack

Tools & technologies

AzurePythonSQL

About the role

Key responsibilities & impact

Develop and maintain Power BI dashboards and reporting measuring AI adoption, utilization, performance, cost, capacity, and business value
Analyze AI operational data and key performance indicators and translate technical metrics into actionable insights and recommendations
Deliver executive and operational reporting supporting AI governance, optimization, investment decisions, and strategic planning
Monitor and analyze AI consumption, cost, utilization, capacity, and token-usage metrics across enterprise AI platforms
Support AI forecasting, budgeting, FinOps reporting, and capacity-planning activities
Analyze adoption patterns, usage trends, operational performance, and platform effectiveness across AI technologies
Develop trend analyses and forecasts to identify opportunities to improve adoption, utilization, and platform value
Gather, transform, and analyze data from enterprise systems and AI platforms for reporting and business decision-making
Perform exploratory analysis to identify trends, anomalies, risks, and opportunities for improvement
Ensure the accuracy, consistency, completeness, and quality of data used in dashboards, reports, and operational metrics
Partner with business, technology, finance, governance, and AI operations stakeholders to define reporting requirements and communicate findings
Continuously improve reporting processes, analytical methodologies, dashboard usability, and visibility of AI operational outcomes

Requirements

What you’ll need

Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Statistics, Mathematics, Business Intelligence, or a related field required
2 or more years of experience in analytics, business intelligence, reporting, data analysis, or a related function required
Experience developing Power BI dashboards and data visualizations for business or operational reporting required
Experience with data modeling, DAX, Power Query, and dashboard development required
Strong SQL skills for data extraction, transformation, analysis, and reporting required
Experience analyzing large datasets and translating findings into actionable business and operational insights required
Experience developing operational, financial, performance, or executive reporting required
Strong communication skills, including the ability to present analytical findings and recommendations to technical and business audiences required
Must be willing to work in the office three days a week
Experience reporting on AI, Copilot, generative AI, or other enterprise AI platforms preferred
Familiarity with AI consumption metrics, token-usage reporting, capacity management, forecasting, or FinOps practices preferred
Experience with Microsoft Fabric, Azure data services, Databricks, or comparable analytics platforms preferred
Experience using Python for data analysis, reporting, or automation preferred
Experience working in the healthcare industry or another regulated environment preferred

Benefits

Comp & perks

Comprehensive benefits plan
Incentive eligibility
Personal and professional development opportunities
Inclusive work environment