Develop a strategic plan for Medicare Data Science, working with senior management to ensure that data science plays a key role in the company's business strategy. Apply advanced AI methods, including generative AI models, that use data from internal and external sources to solve business problems. And use data analysis results and insights to propose business optimization, improve medical insurance products and services, improve efficiency and customer satisfaction, provide strategic guidance based on data and artificial intelligence models, and provide enterprises with suggestions to solve problems and take advantage of opportunities. Ensure policies and procedures align with company vision and industry best practices. Foster effective communication and collaboration within your team. Stakeholders and management. Recruit, develop and evaluate staff to ensure the effective operation of AI Innovation Labs. Act as a liaison between teams and stakeholders, supporting effective communication and strategy. Oversee the budget and operations of the AI Innovation Lab, ensuring efficient resource allocation and alignment with objectives.

Responsible for collecting, organizing, and cleansing health insurance data from a variety of sources, including insurance claims data, medical cost data, and member data. Analyzes and models health insurance data using statistical and data analytics techniques to discover trends, patterns, and associations in the data.Interpret analytical results to provide valuable insights and recommendations for business decisions to help optimize health insurance programs and processes. Prepare high-quality data reports and visual presentations, translating complex data analysis results into an easy-to-understand format and presenting to management and business teams. Collaborate with business units to understand their needs and challenges and ensure that data analysis and reporting goals are aligned with business objectives. Ensure accuracy, completeness, and consistency of Medicare data to improve data quality and credibility.

Responsible for managing analysis and reporting tools and data sets to generate valuable insights from data and help improve the business quality of the department. Gain insight into departmental data in order to plan, manage and control the activities of analyst teams to provide reporting, insight and analytical support for departmental data needs. Develop the analytical capabilities of the team to support the analysis. Transfer knowledge of analytical methods, research and statistics used in quantitative data analysis and identify opportunities to apply new datasets, tools and methods. Work closely with clients to build and maintain client relationships.