Lead Data Informaticist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and manage the data and analytical infrastructure for CenterWell Traditional Pharmacy's analytics framework.

• Design and implement curated data products and scalable ETL/ELT pipelines using Databricks.

• Convert analytical and business needs into reusable data models across various domains such as pharmacy claims, membership, operations, marketing, finance, and more.

• Define and uphold metadata and documentation for 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 accepted analytical methodologies.

• Establish techniques for joining and integrating diverse data sources while maintaining source integrity and meaning.

• Develop curated environments that enable reliable AI-assisted and self-service analytics via Databricks Genie One and similar tools.

• Assess the accuracy, completeness, consistency, and repeatability of AI-assisted analytical outputs.

• Identify deficiencies in governed data capabilities and devise solutions involving new data, business logic, metadata, integration, or analytical capabilities.

• Create analytical connections across pharmacy claims, membership, marketing, operational throughput, and financial outcomes.

• Implement automated data-quality controls, reconciliations, validation processes, and monitoring.

• Collaborate with informaticists, analysts, data engineers, technology, finance, marketing, pharmacy, and other cross-functional teams.

• Provide technical leadership through architectural recommendations, design standards, peer reviews, documentation standards, mentoring, and reusable development patterns.

• Support source-to-target documentation, change management, version control, testing, and deployment of essential analytical assets.

• Assess emerging data and AI capabilities to enhance 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.

• A minimum of seven years of experience in data analytics, informatics, business intelligence, data engineering, analytical engineering, or a related discipline, including graduate and postgraduate experience.

• Proven experience in leading complex analytical data, data product, or analytical platform initiatives.

• Hands-on expertise in modern cloud-based data and analytics environments.

• Strong proficiency in SQL.

• Experience in developing complex analytical transformations and reusable data assets.

• History of designing, developing, testing, and maintaining ETL/ELT pipelines.

• Familiarity with dimensional, relational, or analytical data modeling.

• Knowledge of data quality, reconciliation, testing, metadata, lineage, documentation, and analytical governance.

• Experience with healthcare, payer, claims, pharmacy, or other intricate healthcare datasets.

• Understanding of data grain, source relationships, business rules, aggregations, populations, and the integration of disparate data sources.

• Ability to convert business definitions and analytical methodologies into scalable, repeatable technical solutions.

• Capability to troubleshoot complex data issues and identify root causes across upstream and downstream processes.

• Strong written and verbal communication skills for both technical and non-technical audiences.

• Ability to provide technical leadership, influence standards, and guide analytical solutions across teams.

• A dedicated workspace free from interruptions to protect member PHI/HIPAA information.

• Home internet with a minimum of 25 Mbps download and 10 Mbps upload speed.

• Preferred: Master's degree in a related field.

• Preferred: Extensive 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 in configuring or supporting Databricks Genie One or similar functionalities.

• Preferred: Proficiency in Python or another programming language for data engineering, automation, testing, or advanced analytics.

• Preferred: Direct experience with pharmacy or prescription claims data.

• Preferred: Background in payer, PBM, mail-order pharmacy, Medicare, or related healthcare fields.

• Preferred: Experience in integrating pharmacy claims, membership, marketing, operational, and financial data.

• Preferred: Experience in 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 standards.

• Preferred: Familiarity 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.