UnitedHealth Group

Compensation

Full Description

About the position Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. The health solutions marketplace is hungry for new ideas, innovative products and software that drives elevated performance for the business and the customer. The UnitedHealth Group family of businesses is feeding incredible solutions to that marketplace every day by bringing out the best in our software engineering teams. We serve customers across the health system. Not only do we have more of them every day, we also have more technology, greater data resources and far broader expertise than any competitor anywhere. We're out to change the way our businesses and consumers engage with technology. If you're in, you'll be challenged like never before. It's time to join this history making. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Responsibilities • Provide enterprise level leadership for advanced forecasting, predictive, and prescriptive analytics supporting strategic, operational, and financial decision making • Lead the design, execution, and scaling of next generation forecasting capabilities leveraging complex, unstructured, and high volume datasets • Apply advanced statistical modeling, machine learning, simulation, optimization, and mathematical techniques to deliver materially earlier insight into emerging trends and risks • Translate complex and ambiguous business questions into analytically rigorous, scalable forecasting solutions delivering measurable enterprise value • Provide strategic direction and accountability for forecasting architecture, modeling strategy, prioritization, validation, and deployment across the Next Gen Forecasting program • Direct multiple layers of management and senior level data science professionals, ensuring solid technical rigor, delivery discipline, and talent development • Establish forecasting standards, governance, and validation frameworks ensuring accuracy, interpretability, scalability, and sustained stakeholder trust • Partner closely with Finance, Actuarial, Healthcare Economics, and Technology leaders to align forecasting roadmaps, manage cross functional dependencies, and embed insights into enterprise decision workflows Requirements • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field • 15+ years of overall experience in data science, forecasting, predictive, and prescriptive analytics at enterprise scale • Proven experience leading multi layer data science organizations or highly complex analytics programs • Deep expertise in statistics, machine learning, simulation, optimization, and advanced mathematical techniques • Demonstrated ability to drive analytically rigorous solutions that influence strategic, operational, and financial decision making • Experience with Gen AI skill - Large Language Model, RAG Nice-to-haves • Master’s or PhD in Data Science, Statistics, Applied Mathematics, Operations Research, or related discipline • Experience in healthcare, actuarial, or healthcare economics analytics environments • Experience leading high visibility, enterprise scale AI or advanced forecasting programs • Demonstrated solid background in forecasting governance, validation, and analytical risk management • Experience using advanced analytics platforms and tools including SQL, Python, R, Hadoop, and large scale data technologies Benefits • a comprehensive benefits package • incentive and recognition programs • equity stock purchase • 401k contribution