Data Science Prior Authorization Reporting Lead; DSIS​/SPI - Internal

Data Science Prior Authorization Reporting Lead (DSIS3/SPI) - Internal

This opportunity is internal and available to current HCA employees only.

The Data Science Prior Authorization Reporting Lead applies advanced statistical techniques, mathematical modeling, and specialized programming to extract actionable insights from complex health care data in support of Apple Health's prior authorization program. The position develops data storytelling and analytics to inform policy decisions and improve health care outcomes using tools like Power BI, Tableau, SQL, R, and Python. This is a great promotional opportunity for a highly experienced data professional within HCA with a background in public health analytics.

All HCA employees will apply an equity lens to their work, which may include but is not limited to all analyses of core business and processes.

About the division:

The DATA (Data Acquisition, Transformation and Analytics) team of the Health Care Authority, within the Strategy, Policy, and Innovation (SPI) division, is responsible for leading agency data strategy; and leading the implementation, maintenance, and enhancement of the data management, analytics and reporting systems that inform agency leadership in support of HCA's goals, as well as for monitoring program performance to ensure accountability and alignment with agency activities..

About the position:

This position utilizes data informatics, mathematics, statistics, and specialized programming to extract knowledge from structured and unstructured health care data. As a highly experienced Data Scientist, the position's focus is on creating advanced data analytics, applying statistical techniques, and developing data storytelling, in support of Apple Health (Medicaid) prior authorization program and to report out on trends, insights, and critical funding and policy inquires.

This position will provide expert guidance for developing actionable insights that can be used to improve health care outcomes, solve problems, meet reporting requirements and make informed policy decisions.

This position is eligible to telework and is typically not required to report on-site. The default assigned work location of all Health Care Authority (HCA) positions - both on-site and telework eligible positions - is within the State of Washington. This position reports to Olympia, WA. Frequency of onsite work will vary based on business and operational needs. All agency employees are required to report on-site in Olympia on their first and last days of employment to pick up and return state-issued equipment, regardless of telework status or location.

Some of what you will do:

* Generate high quality data products from structured and unstructured data sources using programming languages such as R, SAS, SQL, M code and/or Python to write data code/query scripts.

* Lead the development of advanced algorithms, build data models, and automate data processing tasks.

* Develop complex data quality processes and metrics to ensure accurate and timely reporting to Centers for Medicare and Medicaid Services (CMS) and the Washington state legislature.

* Lead multiple complex data science projects in collaboration with internal and external partners.

* Use and oversee the use of tools such as R, Power BI and/or Tableau to develop data models and interactive visualizations.

* Ensure overall compliance with agency process and external policy and/or legal requirements while assuring accuracy and completion of analytic projects.

* Determine the best strategy for the delivery of services within the work unit to include but not limited to ensuring a balanced workload distribution between staff.

* Maintain a participatory process by involving staff in decisions affecting them.

* Mentor staff members to build their knowledge and skills as it relates to analytical techniques, agency programs, data infrastructure, processes and best practices.

* Set standards and objectives for performance and identify strategies for implementation.

* Serve as expert of the use of advanced quantitative research methods commonly used in scientific, surveillance, and/or epidemiological research to analyze and…