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Humana
Humana
H1B Visa SponsorHealthcareHealthcare InsuranceInsurance
Humana is a healthcare and health insurance company focused on improving health outcomes for individuals, communities, and the broader healthcare system. Its work includes Medicare Advantage HMO, PPO, and PFFS plans serving populations such as seniors and military members. Humana also emphasizes an inclusive workplace built around belonging, mutual respect, and opportunities for employees to contribute to the company’s health-focused mission.
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Senior Remote Data Informaticist, Pharmacy Analytics

Lead the development of governed Databricks data products and ETL pipelines for CenterWell Traditional Pharmacy analytics. Support dependable AI-assisted insights across healthcare, financial, marketing, and operational data.

USUnited States
$117,600 – $161,700 / year
RemoteFull-timeSeniorEnglish RequiredData Scientist
CloudETLPythonSQL

Description

  • Build and govern CenterWell Traditional Pharmacy’s analytics data foundation.
  • Design curated data products and scalable ETL/ELT pipelines in Databricks.
  • Turn analytical and business needs into reusable models spanning pharmacy claims, membership, operations, marketing, finance, and related domains.
  • Maintain metadata and documentation for sources, field definitions, data grain, relationships, lineage, refresh schedules, transformation logic, and intended use.
  • Govern KPI calculations, business definitions, population rules, source relationships, and approved analytical methods.
  • Develop ways to join and integrate separate data sources while preserving their integrity and meaning.
  • Create curated environments for reliable AI-assisted and self-service analytics with Databricks Genie One and similar tools.
  • Assess AI-assisted analytical answers for accuracy, completeness, consistency, and repeatability.
  • Find gaps in governed data capabilities and identify solutions involving data, business logic, metadata, integration, or analytics.
  • Connect pharmacy claims, membership, marketing, operational throughput, and financial outcomes through analytical bridges.
  • Set up automated data-quality controls, reconciliations, validation, and monitoring.
  • Work with informaticists, analysts, data engineering, technology, finance, marketing, pharmacy, and other teams.
  • Guide technical work through architecture recommendations, design and documentation standards, peer reviews, mentoring, and reusable development patterns.
  • Support source-to-target documentation, change management, version control, testing, and deployment for critical analytical assets.
  • Assess emerging data and AI capabilities to improve analytical scale, access, governance, and decision support.

Requirements

  • Bachelor’s degree in computer science, data engineering, analytics, informatics, information systems, mathematics, statistics, or another quantitative or technology-related field, or equivalent relevant professional experience.
  • At least seven years of experience in data analytics, informatics, business intelligence, data engineering, analytical engineering, or a related discipline, including graduate and post-graduate experience.
  • Experience leading complex analytical data, data product, or analytical platform initiatives.
  • Hands-on experience with modern cloud-based data and analytics environments.
  • Strong SQL skills.
  • Experience developing complex analytical transformations and reusable data assets.
  • Experience designing, developing, testing, and maintaining ETL/ELT pipelines.
  • Experience with dimensional, relational, or analytical data modeling.
  • Experience with data quality, reconciliation, testing, metadata, lineage, documentation, and analytical governance.
  • Experience working with healthcare, payer, claims, pharmacy, or other complex healthcare datasets.
  • Understanding of data grain, source relationships, business rules, aggregations, populations, and combining disparate sources.
  • Ability to turn business definitions and analytical methods into scalable, repeatable technical solutions.
  • Ability to troubleshoot complex data issues and find root causes across upstream and downstream processes.
  • Strong written and verbal communication for technical and non-technical audiences.
  • Ability to provide technical leadership, shape standards, and guide analytical solutions across teams.
  • A dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information.
  • Home internet service with at least 25 Mbps download and 10 Mbps upload speeds.
  • Preferred: Master’s degree in a related discipline.
  • Preferred: Substantial hands-on experience with Databricks and its data and analytics ecosystem.
  • Preferred: Experience with AI-assisted analytics, natural-language analytics, or governed self-service analytical environments.
  • Preferred: Experience configuring or supporting Databricks Genie One or similar capabilities.
  • Preferred: Experience using Python or another programming language for data engineering, automation, testing, or advanced analytics.
  • Preferred: Direct experience with pharmacy or prescription claims data.
  • Preferred: Experience in payer, PBM, mail-order pharmacy, Medicare, or related healthcare settings.
  • Preferred: Experience integrating pharmacy claims, membership, marketing, operational, and financial information.
  • Preferred: Experience governing KPI definitions, semantic layers, reusable measures, metadata, or business-rule frameworks.
  • Preferred: Experience with enterprise data catalogs, lineage, governance, access controls, and healthcare data privacy requirements.
  • Preferred: Experience with version control, code review, testing, deployment, and data development lifecycle practices.

Benefits

  • Bonus incentive plan tied to company and/or individual performance.
  • Medical coverage.
  • Dental coverage.
  • Vision coverage.
  • 401(k) retirement savings plan.
  • Paid time off.
  • Company holidays.
  • Personal holidays.
  • Paid parental leave.
  • Paid caregiver leave.
  • Short-term disability coverage.
  • Long-term disability coverage.
  • Life insurance.
  • Remote-work internet service provided by the employee.
  • Occasional travel to Humana offices for training or meetings.

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