Lead Data Informaticist

Job 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