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The Lead Informaticist serves as a senior technical individual contributor responsible for building and governing the data and analytical foundation supporting CenterWell Traditional Pharmacy's evolving analytics environment. This role will design and develop curated data products, scalable ETL/ELT pipelines, metadata, business definitions, and analytical standards that enable analysts and business partners to reliably use Databricks Genie One and other AI-assisted analytical capabilities. The Lead Informaticist is responsible not only for making data available, but for ensuring that the analytical environment understands how the business expects that data to be used, including appropriate KPI calculations, relationships between data sources, populations, business rules, and analytical definitions. You will also monitor how AI-assisted analytical environments answer business questions, identify gaps in existing governed data capabilities, and develop solutions that bridge those gaps. This may include integrating traditionally different information such as pharmacy claims, membership, marketing, operational, and financial data to allow end-to-end evaluation of performance and financial impact. Internal CeDAR planning materials similarly emphasize governed assumptions, reproducible analytical infrastructure, and increasing the share of partner questions that can be answered without a traditional modeling request. This role is intended to directly enable that type of model.
The Lead Informaticist is a senior technical individual contributor who provides hands-on technical leadership for the data products, analytical architecture, metadata, business rules, and governance supporting CenterWell Traditional Pharmacy analytics.
Key responsibilities include:
- 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.
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Required Qualifications
- 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).
- 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 understanding of data grain, source relationships, business rules, aggregations, populations, and the implications of combining disparate data sources.
- Ability to translate business definitions and analytical methodologies into scalable, repeatable technical solutions.
- Demonstrated ability to troubleshoot complex data problems and determine root causes across upstream and downstream processes.
- 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.
Preferred Qualifications
- Master's degree in computer science, data engineering, analytics, informatics, information systems, data science, statistics, or another related discipline.
- Significant hands-on experience with Databricks and its associated data and analytics ecosystem.
- Experience developing curated data products specifically for AI-assisted analytics, natural-language analytics, or governed self-service analytical environments.
- Experience configuring or supporting Databricks Genie One or similar AI-assisted analytical capabilities.
- Experience with Python or another programming language used for data engineering, automation, testing, or advanced analytics.
- Direct experience with pharmacy or prescription claims data, including knowledge of common pharmacy business concepts and healthcare data structures.
- Experience within payer, PBM, mail-order pharmacy, Medicare, or related healthcare environments.
- Experience integrating pharmacy claims, membership, marketing, operational, and financial information for cross-functional analysis.
- Experience developing or governing enterprise KPI definitions, semantic layers, reusable measures, metadata, or business-rule frameworks.
- Experience with enterprise data catalogs, data lineage, data governance, access controls, and healthcare data privacy requirements.
- Experience implementing version control, code review, testing, deployment, and other data-development lifecycle practices.
- Experience designing analytical assets that serve multiple audiences, including data analysts, business analysts, and business users accessing data through governed self-service tools.
Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$117,600 - $161,700 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
Application Deadline: 10-23-2026
About us
About CenterWell Senior Primary Care: CenterWell Senior Primary Care provides proactive, preventive care to seniors, including wellness visits, physical exams, chronic condition management, screenings, minor injury treatment and more. Our unique care model focuses on personalized experiences, taking time to listen, learn and address the factors that impact patient well-being. Our integrated care teams, which include physicians, nurses, behavioral health specialists and more, spend up to 50 percent more time with patients, providing compassionate, personalized care that brings better health outcomes. We go beyond physical health by also addressing other factors that can impact a patient’s well-being.
About CenterWell, a Humana company: CenterWell is a leading healthcare services business focused on creating integrated and differentiated experiences that put our patients at the center of everything we do. The result is high-quality healthcare that is accessible, comprehensive and, most of all, personalized. As the largest provider of senior-focused primary care, a leading provider of home healthcare and a leading integrated home delivery, specialty, hospice and retail pharmacy, CenterWell is focused on whole health and addressing the physical, emotional and social wellness of our patients. CenterWell is part of Humana Inc. (NYSE: HUM). Learn more about what we offer at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
