Join Optum, a global leader dedicated to enhancing health outcomes through innovative technology. We are seeking a Senior Manager, ERP to lead the delivery of enterprise-scale data engineering, analytics, and EPM/Finance technology solutions. This role is pivotal in modernizing and scaling our data platforms, ensuring robust data products, and driving strategic insights.

Embrace a culture of inclusion and collaboration, working alongside talented peers and benefiting from comprehensive development opportunities. Advance health optimization on a global scale by connecting people with the care, resources, and data they need to thrive. Come make a tangible impact as we collectively focus on Caring, Connecting, and Growing.

Lead the comprehensive delivery of enterprise data engineering, analytics, and EPM/Finance technology solutions. Drive the design, development, and modernization of scalable data platforms, pipelines, and products. Provide leadership in leveraging modern data technologies including Databricks, Spark, Python, SQL, ETL/ELT, data lakes, APIs, and Azure cloud services.

Collaborate with business, Finance, Product, and Engineering teams to translate needs into actionable technology solutions and roadmaps. Oversee enterprise analytics, reporting, performance management, and EPM solutions, encompassing financial planning, forecasting, and profitability. Ensure robust delivery governance across all project phases, managing scope, risks, quality, and security. Promote engineering excellence through Agile, DevSecOps, CI/CD, and AI/GenAI practices. Lead global, distributed teams, manage senior stakeholders, and drive cross-functional alignment.

A Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, Business Analytics, Engineering, or a related field is required. Candidates must possess over 10 years of progressive experience in data engineering, analytics, reporting, business intelligence, or enterprise applications.

Demonstrated experience in delivering enterprise-scale data engineering, analytics, reporting, data platforms, and performance management solutions. Proven ability to lead data/analytics modernization, cloud transformations, and enterprise technology initiatives. Hands-on proficiency with SQL, Python, data modeling, Databricks, Apache Spark, ETL/ELT, data lakes/lakehouse, and modern data architecture principles. Strong understanding of data governance, security, automation, CI/CD, and production operations, coupled with excellent stakeholder management and problem-solving skills. Experience leading geographically distributed teams is essential.