Join Optum, a global leader in health optimization, where technology enhances care for millions. We foster a culture of inclusion, collaboration, and continuous growth, offering a platform to make a significant impact on community health. Our mission is to help people live healthier lives and improve the health system for everyone, actively working to reduce health disparities.

Lead the development, deployment, and support of advanced data pipelines, analytics solutions, and AI-driven data products. This involves end-to-end project management, from requirements analysis to production support, focusing on scalable, high-quality, and maintainable code. Responsibilities include ensuring operational excellence, driving data quality and governance, managing change, and collaborating with stakeholders to deliver strategic solutions. Additionally, leverage AI/ML for operational improvements and champion emerging AI technologies.

A Bachelor's degree in a quantitative field is required, alongside 3+ years of experience in SAS, SQL, and Teradata. Proficiency in data visualization and BI reporting tools like Tableau, ETL processes, and Unix shell scripting is essential. Familiarity with Machine Learning, Cloud Data Platforms (Azure, AWS, GCP), and version control tools such as GitHub is also necessary. Expertise in Python/PySpark, Teradata, Snowflake, and Microsoft Excel/PowerPoint is expected.