Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Oversee the Analytics team, ensuring the development of analytical solutions for 30+ markets in the US Build and manage a global team of 30+ data analysts and scientists Handle team building, goal setting, development plans, and team restructuring Provide direction and oversight for the architecture, technical design, development, quality assurance, and support readiness of analytics projects Manage the planning and roadmap definition for all analytics solutions within the analytics projects Collaborate with senior leadership, stakeholders, and infrastructure teams to define technical architecture, policies, processes, and budget management Drive innovation and build strategies for technology modernization, including infra modernization and cloud adaptation Foster positive relationships with internal and external customers to ensure profitability and customer satisfaction Utilize the OKR (Objectives and Key Results) approach to define and track team goals and accomplishments Ensures that all the standard requirements have been met and is involved in performing the technical analysis Assists the project manager by compiling information from the current systems, analyzing the program requirements and ensuring that it meets the specified time requirements Resolves moderate problems associated with the designed programs and provides technical guidance on complex programming Develop and implement analytics solutions for 31 states using structured and unstructured data stored in Snowflake Apply advanced statistics, data science methodologies, and AI practices, including generative AI skills leveraging GPT models Perform data mining, cleaning, and aggregation processes to prepare data for analysis Query and manage data in Snowflake, ensuring data quality and integrity Communicate complex data insights through storytelling with data and visualizations using Power BI Collaborate with non-technical and functional stakeholders from health plans to provide prescriptive analytics and help them find answers to data questions Lead and mentor junior data scientists, providing guidance on best practices and methodologies Ensure expertise with ML Ops for deploying and managing machine learning models in production Work in an agile environment, contributing to sprint planning, reviews, and retrospectives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications 8+ years of experience in data science, with a solid background in traditional ML modeling, statistics, and data science methodologies Experience with ML Ops and deploying machine learning models in production Proficiency in Microsoft Fabric, Azure Stack, Azure ML, and Snowflake querying Expertise in AI practices, including generative AI skills leveraging GPT models Solid skills in storytelling with data and creating visualizations using Power BI Familiarity with embeddings and other advanced data science techniques Proven excellent communication and collaboration skills to work with non-technical stakeholders Ability to work in an agile environment and contribute to team success Preferred Qualifications Master’s degree in Data Science, Statistics, Computer Science, or a related field Experience with healthcare data and knowledge of the healthcare industry 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. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
