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Vice President Azure Databricks Jobs in Florida (NOW HIRING)

Experience with cloud-based infrastructure and services, such as AWS, Azure, or Google Cloud. Familiarity with data management principles, including data warehousing, data lakes, and data governance.

Experience with cloud-based infrastructure and services, such as AWS, Azure, or Google Cloud. Familiarity with data management principles, including data warehousing, data lakes, and data governance.

... Azure, or Google Cloud. • Familiarity with data management principles, including data warehousing, data lakes, and data governance. • Understanding of IT infrastructure, including servers ...

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Vice President Azure Databricks information

What is the difference between Vice President Azure Databricks vs Data Engineering Manager?

AspectVice President Azure DatabricksData Engineering Manager
ResponsibilitiesStrategic oversight of Azure Databricks initiatives, leadership in data platform architecture, executive decision-makingManaging data engineering teams, project execution, technical implementation of data pipelines
Required SkillsLeadership, cloud architecture, data strategy, Azure Databricks expertise, stakeholder managementData pipeline development, team management, technical skills in Spark, SQL, cloud platforms
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTechnical team management, project-focused, hands-on data engineering

The Vice President Azure Databricks focuses on strategic leadership and high-level decision-making for data platforms using Azure Databricks, while the Data Engineering Manager handles day-to-day technical management of data engineering teams and projects. Both roles require cloud and data platform knowledge, but differ in scope and seniority.

What are the most commonly searched types of Azure Databricks jobs in Florida? The most popular types of Azure Databricks jobs in Florida are:
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Infographic showing various Vice President Azure Databricks job openings in Florida as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, and 10% Contract. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution.

Senior Data Analyst - AI & Dermatology Claims Analytics

adcs

Maitland, FL

$80K - $101K/yr

Full-time

Posted 8 days ago


Job description

SENIOR DATA ANALYST – AI & DERMATOLOGY CLAIMS ANALYTICS

Comprehensive Position Description

Reporting Structure
  • Dual reporting relationship: Technical reporting to Chief Information Officer; Functional reporting to Vice President of FP&A.
  • Acts as liaison between IT, Finance, Revenue Cycle, Clinical Operations and Executive Leadership.
Position Summary
  • Lead analytics initiatives involving large dermatology claims, EMR, revenue cycle and operational datasets.
  • Leverage AI tools and advanced analytics to improve reimbursement, forecasting and operational performance.
Primary Responsibilities
  • Analyze millions of claims records across CPT, HCPCS, ICD-10, payer and provider dimensions.
  • Identify revenue leakage, denial trends, coding opportunities and reimbursement optimization opportunities.
  • Develop AI-assisted analytical workflows using Copilot, Azure AI and LLM technologies.
  • Build executive dashboards and KPI reporting.
  • Support budgeting, forecasting and strategic planning initiatives.
  • Partner with managed care on payer contract performance analytics.
Technical Requirements
  • Advanced SQL
  • Python
  • Power BI
  • Microsoft Fabric
  • Azure Data Services
  • Databricks or Snowflake
  • Healthcare data warehousing
  • Machine learning and predictive analytics
Healthcare Domain Expertise
  • Dermatology claims analytics
  • Revenue cycle management
  • Medical coding
  • Payer reimbursement methodologies
  • Provider productivity analytics
  • Value-based care and population health
AI Competencies
  • Prompt engineering
  • Generative AI assisted reporting
  • Predictive analytics
  • Anomaly detection
  • Natural language processing
  • Model validation and governance
Key Performance Indicators
  • Reimbursement improvement opportunities identified
  • Dashboard adoption
  • Forecast accuracy
  • Reduction in manual reporting effort
  • Denial trend visibility
  • Executive stakeholder satisfaction
Qualifications
  • Bachelor degree in quantitative discipline required.
  • Masters degree preferred.
  • 5+ years healthcare analytics experience preferred.
  • Experience with large healthcare claims datasets required.