• Designing and implementing data architectures • Data modeling • Collaboration with Data Engineers and Data Analysts

• Partner with Finance leadership across Accounting, Customer Revenue Operations, and Business Finance to architect the migration and integration of systems into Oracle Cloud. • Design and deploy AI/ML solutions to automate and optimize core business workflows, turning enterprise data into operational intelligence. • Lead Data Quality initiatives to establish and enforce a "single source of truth." • Understand business processes to lead the building and maintaining of an enterprise data catalog and empower self-service analytics. • Act as the primary go-to expert and technical consultant for process changes and technical roadmaps within Finance systems.

• Design, build, and optimize complex SQL Server solutions, emphasizing performance tuning, indexing, and data modeling. • Manage relational and semi-structured data, including JSON stored in SQL Server and multi-dimensional datasets. • Query and transform JSON using native SQL Server tools, such as OPENJSON and JSON_VALUE. • Use PowerShell, SQL Server tools, and scripting to automate processes. • Enhance functionalities by integrating with APIs and external systems. • Address problems comprehensively, focusing on end-to-end solutions beyond the database layer. • Operate within a complex, multi-system application environment, avoiding isolated reporting or analytics tasks. • Explore and implement LLM-driven workflows, including prompting and structured outputs. • Continuously enhance efficiency by replacing manual processes with automation.

Role Description As a member of the Optum team, you will: - Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem solving. - Develop scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling. - Research complex functional data/analytical issues, demonstrating good troubleshooting skills. - Assume responsibility for data integrity among various internal groups and/or between internal and external sources. - Take end-to-end responsibility quickly solving data issues in a production setting. - Manage End‑to‑End Operational Ownership. - Run Monitoring & Issue Management. - Facilitate Stakeholder Communication & Coordination. - Ensure Change and Release Readiness. - Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement. You’ll be rewarded and recognized for your performance in an environment that will challenge you and provide development for other roles you may be interested in. Qualifications - Bachelor’s degree. - 3+ years of experience with SQL. - 2+ years of experience with Kafka, Databricks, Github, Airflow, and Azure or other public cloud platforms. - 2 years of experience with Metrics & Operational Reporting. Requirements - Good understanding of healthcare data. - Aptitude for learning new data flows quickly and participating in data quality and automation discussions. - Willingness to use AI tools and look for opportunities to use AI. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase. - 401k contribution (subject to eligibility requirements). The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. Company Description At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location, and income–deserves the opportunity to live their healthiest life. - Committed to mitigating our impact on the environment. - Enabling and delivering equitable care that addresses health disparities and improves health outcomes. - Equal Employment Opportunity employer under applicable law. - Drug-free workplace; candidates are required to pass a drug test before beginning employment.