Senior Director, Data Science - NextGen Forecasting - Remote

** Requisition number:
** 2363792

** Job category:
** Business & Data Analytics

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 United Health 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.

*
* Primary 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 strong 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

+ Design and operationalize advanced time series forecasting solutions using classical statistical methods (ARIMA/SARIMA, ETS, state space models) as well as modern machine learning and deep learning approaches

+ Lead development of forecasting frameworks that explicitly account for trend, seasonality, stationarity, autocorrelation, and temporal dependencies across large scale enterprise datasets

+ Establish enterprise forecasting standards including backtesting methodologies, rolling/expanding window validation, probabilistic forecasting, prediction interval generation, and analytical risk management practices

+ Drive advanced feature engineering strategies for time series forecasting, including lag features, rolling statistics, calendar effects, Fourier terms, and incorporation of exogenous variables such as events, holidays, and external business drivers

+ Lead implementation of multi-step forecasting strategies including recursive, direct, and hybrid approaches, leveraging sequence modeling architectures such as LSTM and Transformer-based forecasting models where appropriate

+ Ensure forecasting solutions appropriately address time-based validation, temporal data leakage prevention, model interpretability, scalability, and sustained stakeholder trust

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

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* Required Qualifications:

*
* + 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 time series forecasting, statistics, machine learning, simulation, optimization, and advanced mathematical techniques

+ Hands-on experience with forecasting methodologies including ARIMA/SARIMA, exponential smoothing…