Lead Encounter Data Management

Humana

5d • $94,900 - $130,500 • Remote

About The Position

This is a fully remote position. You will lead the collection, integration, analysis, and transformation of encounter data into actionable insights that improve submission accuracy, compliance, and operational performance. In this senior-level role, you will develop scalable analytical solutions, optimize encounter submission processes, and drive initiatives that improve data quality, acceptance rates, and business outcomes. You will report to an Associate Director.

Requirements

• 6+ years of experience analyzing complex healthcare data to identify process improvements, operational efficiencies, or business insights
• 4+ years of experience using Python and SQL to perform data analysis, automation, reporting, and data quality validation
• 3+ years of experience developing dashboards, reports, and data visualizations using Power BI or similar reporting tools
• 2+ years of experience applying statistical analysis, forecasting techniques, or quantitative modeling to support business decisions
• 2+ years of experience leading projects, mentoring team members, and presenting recommendations to business leaders and stakeholders
• Experience translating complex data into actionable recommendations that influence operational or strategic decisions

Nice To Haves

• Bachelor's degree in a technical field
• Experience with Databricks, Azure DevOps, healthcare encounter data, data governance frameworks, and data quality best practices

Responsibilities

• Lead strategic data and analytics initiatives that support encounter submission performance, compliance, and operational goals.
• Develop and maintain analytical solutions using Python, SQL, Databricks, Power BI, Azure DevOps, and automation tools.
• Analyze complex datasets, perform root cause analysis, and implement solutions to resolve data and process challenges.
• Translate business requirements into technical specifications and communicate actionable insights to stakeholders.
• Partner with cross-functional teams to improve workflows, reporting capabilities, data quality, and data management practices.
• Mentor team members and promote a culture of collaboration, innovation, and continuous improvement.

Benefits

• medical
• dental
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree