Remote Lead Data Informaticist, AI‑Driven Analytics

Humana Inc; Frankfort (KY); Remote; USD 118,000 - 162,000; Full time

Job summary

CenterWell Traditional Pharmacy seeks a Lead Informaticist to shape the data and analytics foundation, delivering scalable data products, ETL pipelines, and governance across pharmacy claims, membership, marketing, and financial data.

You will lead technical directions, ensure KPI definitions, data lineage, and trusted AI-assisted analytics with Databricks Genie One, collaborating with cross-functional teams.

Qualifications

• Bachelor's degree in computer science, data engineering, analytics, informatics, information systems, mathematics, statistics, or another quantitative or technology-related field.
• 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).
• Demonstrated experience leading complex analytical-data, data-product, or analytical-platform initiatives.
• Hands-on experience working in modern cloud-based data and analytics environments.
• Strong SQL proficiency and demonstrated experience developing complex analytical transformations and reusable data assets.
• Demonstrated experience designing, developing, testing, and maintaining ETL/ELT pipelines.
• Experience with dimensional, relational, or analytical data modeling and designing data structures for downstream analytics and reporting.
• Experience with data quality, reconciliation, testing, metadata, lineage, documentation, and analytical governance practices.
• Experience working with healthcare, payer, claims, pharmacy, or other complex healthcare datasets.
• Strong written and verbal communication skills with the ability to explain technical architecture, data limitations, and analytical implications to both technical and non-technical audiences.
• Demonstrated ability to provide technical leadership, influence standards, and guide analytical solutions across teams.

Responsibilities

• Design, develop, test, deploy, document, and maintain scalable ETL/ELT pipelines and curated analytical data products within Databricks.
• Translate analytical and business requirements into reusable data models that appropriately represent pharmacy claims, membership, operational, marketing, financial, and other business domains.
• Define and maintain documentation and metadata describing data sources, table and field definitions, analytical grain, relationships, lineage, refresh expectations, transformation logic, and intended usage.
• Encode and govern business logic supporting key performance indicators, business definitions, population rules, source relationships, and approved analytical methodologies.
• Establish appropriate methods for joining and integrating disparate data sources while protecting the integrity and intended meaning of each source.
• Build curated data environments designed to support reliable AI-assisted and self-service analytics through tools such as Databricks Genie One.
• Evaluate the accuracy, completeness, consistency, and repeatability of answers generated through AI-assisted analytical environments.
• Identify patterns of business questions that cannot be reliably answered using currently governed information and determine whether the appropriate solution is new data, new business logic, enhanced metadata, additional integration, or another analytical capability.
• Develop data and analytical bridges across traditionally separate domains when required to answer complex business questions, including connections among pharmacy claims, membership, marketing activity, operational throughput, and financial outcomes.
• Establish automated and repeatable data-quality controls, reconciliations, validation processes, and monitoring to support trustworthy analytical outputs.
• Partner closely with business-facing informaticists and analysts to understand emerging business questions and convert recurring analytical needs into scalable capabilities.
• Ensure that important business definitions and analytical rules are implemented consistently rather than repeatedly recreated within individual analyses.
• Provide technical leadership through architecture recommendations, design standards, peer review, documentation standards, mentoring, and identification of reusable development patterns.
• Support source-to-target documentation, change management, version control, testing, and deployment practices for critical analytical assets.
• Partner with data engineering, technology, finance, marketing, pharmacy, and other cross-functional teams when solutions require integration beyond the existing analytical environment.
• Continuously evaluate emerging data and AI capabilities and determine how they can responsibly improve analytical scalability, accessibility, governance, and business decision support.

Skills

SQL proficiency

ETL/ELT pipelines

Databricks Genie One

Healthcare data

Data modeling

Analytical governance

Education

Bachelor's degree in CS/related

Job description

CenterWell Traditional Pharmacy seeks a Lead Informaticist to shape the data and analytics foundation, delivering scalable data products, ETL pipelines, and governance across pharmacy claims, membership, marketing, and financial data.

You will lead technical directions, ensure KPI definitions, data lineage, and trusted AI-assisted analytics with Databricks Genie One, collaborating with cross-functional teams.