What are the responsibilities and job description for the Healthcare Data Solutions Director position at Jobleads-US?
As a seasoned actuary and data expert, you will play a pivotal role in shaping the future of healthcare analytics at Optum. Our team is dedicated to delivering cutting-edge solutions that drive business growth and improve health outcomes. We are seeking an experienced professional with a proven track record in designing and executing complex data programs.
The ideal candidate will have a deep understanding of actuarial principles and experience working with large heterogeneous datasets. You will be responsible for creating efficient and scalable models, developing data storage and architecture solutions, and leading meetings with executive audiences to present data insights. Your expertise in statistical methods, including descriptive and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms, will be essential in driving business decisions.
We offer a dynamic work environment that encourages creative solutions and strategies. As a trusted subject matter expert, you will incorporate traditional expertise into novel, innovative actuarial/analytic solutions. With opportunities for professional development and career advancement, you will be empowered to succeed in your role.
- 10 years of experience in a healthcare Actuarial role
- ~10 years of experience designing and executing complex data programs, including data extraction and analysis using R, Python, Java, SQL, SAS
- ~10 years of experience acquiring, manipulating, and working with large heterogeneous datasets (claim and non-claim based) and using them to solve business problems
- ~5 years of experience creating efficient and scalable models and developing data storage and architecture solutions
- ~5 years of experience as a people and project manager
- ~5 years of experience leading meetings and presenting data insights to executive audiences
- ~5 years of experience with a wide range of statistical methods, including descriptive and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms
- ~Actuarial Credential (ASA or FSA)
