• Transform data into actionable insights that support revenue growth, operational efficiency, and strategic planning. • Identify and contribute to the development of scalable data tools that improve how data is transformed, managed, and accessed—reducing time to insight. • Build predictive and forecasting models to support revenue growth, marketing effectiveness, and improved customer experiences. • Lead analytics and modeling projects that translate organizational data into clear, data-driven recommendations. • Design and maintain interactive dashboards and reports aligned to key performance indicators (KPIs). • Implement modern tools and techniques to analyze, visualize, and communicate data trends effectively. • Partner with business teams to support operational improvements and growth initiatives, defining measurable outcomes. • Prepare both executive-level summaries and detailed analytical reports, including clear written insights and visual storytelling. • Present findings and recommendations to senior leadership, including options and trade-offs. • Collaborate closely with Finance and executive stakeholders to support recurring business review and planning cycles. • Contribute to additional analytics initiatives as business needs evolve.

• Own and lead end-to-end delivery of complex technical programs, from concept through launch and adoption • Leverage AI embedding it into program workflows to accelerate planning, reporting, and coordination, and ensuring output quality and governance • Drive alignment with Product and Engineering to define roadmaps, align timelines, and drive execution • Define and evolve program operating models (cadence, governance forums, reporting structures) to improve alignment and execution predictability • Build and manage integrated program systems, including plans, milestones, dependencies, and scalable processes • Drive cross-functional coordination across Product, Engineering, UX, Data, and GTM teams • Design and utilize scalable program execution systems that improve speed, consistency, and cross-team visibility • Identify, track, and proactively mitigate risks, dependencies, and execution gaps • Monitor and improve program predictability across delivery progress, timelines, dependencies, and decision velocity • Drive program reporting and communication, delivering clear narratives and high-quality insights that enable effective technical and executive decision-making • Drive change management and adoption, influencing teams to adopt new ways of working and improving execution outcomes at scale

• Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications • Evolve our data platform alongside cloud platform engineers • Design and implement scalable data infrastructure • Develop data services and APIs that expose trusted data to product applications • Own data quality and observability • Partner with AI engineers, data scientists, analysts, and product teams • Uphold strong data privacy, security, and compliance practices • Create and maintain comprehensive documentation of data flows, models, and systems

Role Description The Data Engineer will be responsible for the following duties: - Review source to target documents and create testing scripts to ensure data is being loaded correctly into the National Data Warehouse. - Recognize problems to make recommendations/decisions on the best course of action to remediate. - Execute planned testing, document testing results, and track defects. - Meet with business and technical teams to discuss functional design concepts and alternatives necessary to meet requirements. - Summarize testing and validation results to communicate and make recommendations/decisions on the best course of action to remediate. - Create solutions using existing or available resources based on knowledge of the organization and level of execution effort. - Define acceptance test objectives, test cases, and assist in system and integration testing. - Support practices, policies, and operating procedures and ensure alignment to departmental objectives and strategy. - Ensure each level of the organization has the information needed and the context needed to produce favorable results. - Build strong relationships with IT operational leaders to ensure connectivity to the business. Telecommuting is available from anywhere in the U.S. Qualifications - Master’s degree in Computer Science, Information Technology, Information Management, or related field. - Completion of a graduate-level/university-level course, research project, internship, or thesis. - One (1) year of experience involving the following: Requirements - Cloud Platforms such as Snowflake, Azure Databricks, or Microsoft Azure. - Data Pipeline Awareness. - Databricks. - SQL. - Delta Lake. - Data Modeling and Warehousing Concepts. - Data Visualization. - GitHub. - Scala. - Python. - Power BI. - Tableau. Benefits - Full range of comprehensive benefits, including medical, dental, and vision. - Matching 401k. - Employee stock purchase plan. Company Description Optum, part of the UnitedHealth Group family of businesses, is focused on making health care work better for everyone. The organization aims to leverage health-related information and guide health and lifestyle choices while managing pharmacy benefits for millions. Optum brings together advanced ideas and high-performance teams to tackle sophisticated challenges in health care.