Health Architect

About Chartis

Chartis comprises 1,250 professionals who value working for a purpose-driven organization, people who have committed their careers to helping providers, payers, technology innovators, retail companies, and investors create and embrace solutions that reshape healthcare for the better. We work with over 900 clients annually to help make US healthcare more affordable, accessible, safe, and human.

Through our family of brands—Chartis, Jarrard, Greeley, and HealthScape Advisors—we have created a culture that prioritizes respect for our clients, commitment to each other, and unwavering integrity. From physicians, nurses, healthcare executives, and community health leaders to strategists, digital advisors, transactions experts, and healthcare futurists, we bring a diverse set of perspectives to assess healthcare challenges from every angle.

Believing in what we do helps us attract and retain the best and brightest because the work we do every day makes a meaningful impact. This theme of believing in a better way forward is woven into our brand, Believe in better.

Chartis has offices in Boston, Chicago, New York, San Francisco, Washington D.C., and Nashville. Remote work is allowed.

Oracle Health Architect (OMOP / Athena Data Specialist)

Overview

We are seeking an experienced Oracle Health Architect with deep expertise in Athena data structures and a strong background in mapping healthcare data to the OMOP Common Data Model (CDM). This role will lead the design and implementation of data transformations to support advanced analytics, reporting, and interoperability across clinical and revenue cycle domains.

Key Responsibilities

• Architecture & Data Strategy

  • Design and implement scalable data architecture leveraging Oracle Health (Cerner) data platforms, including Athena.

  • Define best practices for healthcare data modeling, integration, and governance.

• OMOP Data Model Mapping

  • Lead the end-to-end mapping of Oracle Health data to the OMOP CDM.

  • Develop and maintain ETL pipelines to transform source data into OMOP-compliant structures.

  • Ensure adherence to OHDSI standards and data quality frameworks.