Lead Data Informaticist

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $117.6k - $161.7k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Humana

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1961

🏥 Healthcare

🛡️ Insurance

⚕️ Healthcare Insurance

Healthcare • Insurance • Healthcare Insurance

Humana is a healthcare company dedicated to making a positive impact on the health of individuals, communities, and the healthcare system as a whole. With a focus on putting health first, Humana serves a diverse range of populations, including seniors and the military, providing Medicare Advantage HMO, PPO, and PFFS plans. Humana is committed to fostering a culture of belonging and mutual respect, offering competitive and flexible benefits to ensure the financial security of its employees and their families. The company prides itself on creating an inclusive workplace where everyone has the opportunity to succeed.

📋 Description

• Build and govern the data and analytical foundation for CenterWell Traditional Pharmacy's analytics environment • Design and develop curated data products and scalable ETL/ELT pipelines within Databricks • Translate analytical and business requirements into reusable data models across pharmacy claims, membership, operational, marketing, financial, and other domains • Define and maintain metadata and documentation covering data sources, field definitions, analytical grain, relationships, lineage, refresh expectations, transformation logic, and intended usage • Encode and govern KPI calculations, business definitions, population rules, source relationships, and approved analytical methodologies • Establish methods for joining and integrating disparate data sources while preserving source integrity and meaning • Build curated environments supporting reliable AI-assisted and self-service analytics through Databricks Genie One and similar tools • Evaluate the accuracy, completeness, consistency, and repeatability of AI-assisted analytical answers • Identify gaps in governed data capabilities and determine solutions involving new data, business logic, metadata, integration, or analytical capabilities • Develop analytical bridges across pharmacy claims, membership, marketing, operational throughput, and financial outcomes • Establish automated data-quality controls, reconciliations, validation processes, and monitoring • Partner with informaticists, analysts, data engineering, technology, finance, marketing, pharmacy, and other cross-functional teams • Provide technical leadership through architecture recommendations, design standards, peer review, documentation standards, mentoring, and reusable development patterns • Support source-to-target documentation, change management, version control, testing, and deployment of critical analytical assets • Evaluate emerging data and AI capabilities to improve analytical scalability, accessibility, 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 • Seven or more 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 in modern cloud-based data and analytics environments • Strong SQL proficiency • 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 with healthcare, payer, claims, pharmacy, or other complex healthcare datasets • Understanding of data grain, source relationships, business rules, aggregations, populations, and combining disparate data sources • Ability to translate business definitions and analytical methodologies into scalable, repeatable technical solutions • Ability to troubleshoot complex data problems and determine root causes across upstream and downstream processes • Strong written and verbal communication skills for technical and non-technical audiences • Ability to provide technical leadership, influence standards, and guide analytical solutions across teams • Dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information • Home internet with at least 25 Mbps download and 10 Mbps upload speed • Preferred: Master's degree in a related discipline • Preferred: Significant 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 with 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 environments • 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 based on company and/or individual performance • Medical benefits • Dental benefits • Vision benefits • 401(k) retirement savings plan • Paid time off • Company holidays • Personal holidays • Paid parental leave • Paid caregiver leave • Short-term disability • Long-term disability • Life insurance • Self-provided internet service for remote work • Occasional travel to Humana offices for training or meetings