Senior Director, Data Science - NextGen Forecasting - Hybrid in MN or Remote

UnitedHealth Group•Minnetonka, MN

1d•Hybrid

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.

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

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