Senior Data Management Professional

Humana
$78,400 - $107,800Remote

About The Position

The Senior Business Intelligence Engineer develops and optimizes business processes to ensure the successful submission and reconciliation of encounter data for Medicaid and Medicare programs. You will ensure that all submissions exceed compliance standards through rigorous data analysis, quality assurance, and the development of tools to enhance encounter acceptance rates. The Senior Business Intelligence Engineer finds opportunities for long-term improvement of submission processes, collaborates with partners to integrate new and improved workflows, and provides solutions to complex data and process challenges. You will lead by example and partners with peers to enhance data visibility, quality, and accuracy. The Senior Data Management position is a member of the Encounter Submission organization ensures the integrity of organizational data. You will analyze complex data challenges, assess situations critically, and use available resources to research and analyze data and dashboards to identify areas of process improvement and limitations. This role requires a collaborative spirit and strong analytical experience improving healthcare data quality and compliance

Requirements

  • Bachelor's degree in a technical field.
  • Minimum 5 years of experience using Python to analyze complex datasets, resolve common data quality issues, and deliver actionable insights, with a strong focus on advanced analytics and process optimization
  • Experience in the healthcare industry
  • Experience working independently while managing multiple priorities and deadlines that require exceptional attention to detail.

Nice To Haves

  • Master's degree in a technical field.
  • Experience using applied statistics and machine learning techniques
  • Experience using version control tools such as Git or similar platforms.

Responsibilities

  • Develop and maintain a variety of processes and solutions, including Python scripts, SQL queries, Databricks notebooks, Azure DevOps pipelines, Power BI dashboards, and process automations.
  • Support partners by addressing data issues, performing root cause analysis, and proposing applicable resolutions.
  • Present clear, applicable insights to both internal and external partners.
  • Improve data processes and advocate for innovation in data management practices.
  • Use your skills to make an impact

Benefits

  • medical
  • dental
  • vision benefits
  • 401(k) retirement savings plan
  • time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
  • short-term and long-term disability
  • life insurance
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service