The role applies advanced analytics, data engineering, & statistical modeling to large healthcare operational datasets to generate insights for organizational decision making.
The employee leads the strategy, design, & optimization of an enterprise analytics platform on Google Cloud Platform, using BigQuery, Apache Beam, Airflow, Kubernetes, & Tableau.
They oversee development of data pipelines, semantic layers, & reporting systems for BI tools including Mode, Looker, & Tableau.
Projects focus on value-based care operations, including risk adjustment, claims analytics, quality reporting, & executive dashboards.
The work supports providers & payers in improving outcomes & efficiency through analytics, with platforms built for operational, financial, & quality data not clinical trial or research data.
Manage a team of data scientists, analysts, and BI developers to most effectively drive impact for our users and their patients.
Focus on identifying and solving the highest impact analytics data platform enhancements both for our users and our business simultaneously.
Be accountable to analytics that drive outcomes.

Bachelor’s degree or foreign degree equivalent in Computer Science, Data Analytics or related field and eight (8) years of experience in data analytics, data engineering or in a related role.
Technical architecture of an analytics platform including GCP cloud infrastructure including BigQuery, Apache Beam, Kubernetes, Tableau
Product analytics and reporting leveraging SQL and Python within Airflow DAGs and data modeling building semantic layers for rapid reporting in Mode and Tableau
Apply healthcare data sets for executive analytics for value-based care organizations, specifically understanding the financial drivers of VBC organizations (RAF modeling from MOR and MAO-004 data sets, claims modeling from CCLF and varied claims data sets, supplemental risk adjustment submission flows)
Operate within a modern technology company’s organizational structure leveraging Jira, Google Docs, Figma, Slack and other communication channels as well as development using Continuous Integration and deployment (CI/CD) pipelines to ensure that changes are incorporated into shipping software and deployed correctly.
Manage BI tooling such as Mode, Tableau, Looker, or PowerBI within an infrastructure as well as build reporting and business intelligence system
Experience in data visualization, including formatting analytics data, and experience presenting data to senior healthcare executives.

Director, Analytics

Key skills